From da41396840ec9d26aa4818a5d84883a87041ff90 Mon Sep 17 00:00:00 2001 From: Dinakar <26552821+cicdguy@users.noreply.github.com> Date: Wed, 5 Oct 2022 04:28:33 -0500 Subject: [PATCH] Minor updates (#2) --- .github/workflows/check.yaml | 15 -- .gitignore | 1 + .lintr | 5 +- DESCRIPTION | 2 +- R/RcppExports.R | 7 +- R/functions.R | 271 ++++++++++++----------- R/zzzz.R | 2 +- README.Rmd | 17 +- README.md | 100 +++++---- _pkgdown.yml | 2 +- cran-comments.md | 32 +-- inst/WORDLIST | 35 +++ man/augmentGrid.Rd | 4 +- man/createGrid.Rd | 8 +- man/figures/README-unnamed-chunk-2-1.png | Bin 20762 -> 33073 bytes man/figures/README-unnamed-chunk-3-1.png | Bin 20762 -> 33073 bytes man/figures/README-unnamed-chunk-4-1.png | Bin 20416 -> 32818 bytes man/figures/README-unnamed-chunk-6-1.png | Bin 28137 -> 40862 bytes man/figures/README-unnamed-chunk-7-1.png | Bin 28137 -> 40862 bytes man/obtainDesign.Rd | 16 +- man/powerPlot.Rd | 6 +- tests/testthat/test-augmentGrid.R | 4 +- tests/testthat/test-createGrid.R | 4 +- tests/testthat/test-isAugmentedGrid.R | 2 +- tests/testthat/test-isBasicGrid.R | 16 +- tests/testthat/test-isManderGrid.R | 93 +++++++- tests/testthat/test-obtainDesign.R | 164 +++++++------- tests/testthat/test-validation.R | 38 ++-- 28 files changed, 484 insertions(+), 360 deletions(-) create mode 100644 inst/WORDLIST diff --git a/.github/workflows/check.yaml b/.github/workflows/check.yaml index f73e98b..2bfb840 100644 --- a/.github/workflows/check.yaml +++ b/.github/workflows/check.yaml @@ -1,4 +1,3 @@ - --- name: Check 🛠 @@ -48,23 +47,9 @@ jobs: if: github.event_name == 'pull_request' name: Spell Check 🆎 uses: insightsengineering/r.pkg.template/.github/workflows/spelling.yaml@main - links: - if: github.event_name == 'pull_request' - name: Check URLs 🌐 - uses: insightsengineering/r.pkg.template/.github/workflows/links.yaml@main - version: - name: Version Check 🏁 - uses: insightsengineering/r.pkg.template/.github/workflows/version.yaml@main - licenses: - name: License Check 🃏 - uses: insightsengineering/r.pkg.template/.github/workflows/licenses.yaml@main style: if: github.event_name == 'pull_request' name: Style Check 👗 uses: insightsengineering/r.pkg.template/.github/workflows/style.yaml@main with: auto-update: true - grammar: - if: github.event_name == 'pull_request' - name: Grammar Check 🔤 - uses: insightsengineering/r.pkg.template/.github/workflows/grammar.yaml@main diff --git a/.gitignore b/.gitignore index 9f96335..94c6c3e 100644 --- a/.gitignore +++ b/.gitignore @@ -29,3 +29,4 @@ vignettes/*.R vignettes/*.html vignettes/*.md .vscode/ +lib/ diff --git a/.lintr b/.lintr index c249a44..979ff26 100644 --- a/.lintr +++ b/.lintr @@ -3,5 +3,8 @@ linters: linters_with_defaults( line_length_linter = line_length_linter(120), cyclocomp_linter = NULL, - object_usage_linter = NULL + object_usage_linter = NULL, + object_name_linter = NULL, + commented_code_linter = NULL, + vector_logic_linter = NULL ) diff --git a/DESCRIPTION b/DESCRIPTION index cd4772f..8d6623f 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -22,7 +22,7 @@ Encoding: UTF-8 LazyData: true URL: https://github.com/openpharma/mtdesign BugReports: https://github.com/openpharma/mtdesign/issues -RoxygenNote: 7.1.2 +RoxygenNote: 7.2.1 Imports: dplyr, ggplot2, diff --git a/R/RcppExports.R b/R/RcppExports.R index 38f5c05..477f47a 100644 --- a/R/RcppExports.R +++ b/R/RcppExports.R @@ -2,14 +2,13 @@ # Generator token: 10BE3573-1514-4C36-9D1C-5A225CD40393 simonProb <- function(p, n1, r1, n, r) { - .Call('_mtdesign_simonProb', PACKAGE = 'mtdesign', p, n1, r1, n, r) + .Call("_mtdesign_simonProb", PACKAGE = "mtdesign", p, n1, r1, n, r) } manderProb <- function(p, n1, r1, r2, n, r) { - .Call('_mtdesign_manderProb', PACKAGE = 'mtdesign', p, n1, r1, r2, n, r) + .Call("_mtdesign_manderProb", PACKAGE = "mtdesign", p, n1, r1, r2, n, r) } augmentGridC <- function(d) { - .Call('_mtdesign_augmentGridC', PACKAGE = 'mtdesign', d) + .Call("_mtdesign_augmentGridC", PACKAGE = "mtdesign", d) } - diff --git a/R/functions.R b/R/functions.R index 7f2567b..afdd9ed 100644 --- a/R/functions.R +++ b/R/functions.R @@ -3,18 +3,20 @@ .onLoad <- function(libname, pkgname) { logger::log_layout( - logger::layout_glue_generator(format = '{namespace} {time} {level} {fn}: {msg}'), - namespace="mtdesign" + logger::layout_glue_generator(format = "{namespace} {time} {level} {fn}: {msg}"), + namespace = "mtdesign" ) } -.onUnload <- function (libpath) { +.onUnload <- function(libpath) { library.dynam.unload("mtdesign", libpath) } isBasicGrid <- function(grid) { logger::log_debug("Entry") - if (!methods::is(grid, "data.frame")) return (FALSE) + if (!methods::is(grid, "data.frame")) { + return(FALSE) + } columnsRequired <- c("p0", "p1", "nStage1", "nTotal", "rFutility", "rTotal") rv <- length(intersect(names(grid), columnsRequired)) == length(columnsRequired) logger::log_debug("Exit") @@ -31,15 +33,19 @@ isManderGrid <- function(grid) { isAugmented <- function(grid) { logger::log_debug("Entry") - if (!isBasicGrid(grid)) return (NA) - columnsRequired <- c("Type1", "Type2", "PETNull", "PETAlt", "AveSizeNull", - "AveSizeAlt") + if (!isBasicGrid(grid)) { + return(NA) + } + columnsRequired <- c( + "Type1", "Type2", "PETNull", "PETAlt", "AveSizeNull", + "AveSizeAlt" + ) logger::log_debug("Exit") rv <- length(intersect(names(grid), columnsRequired)) == length(columnsRequired) return(rv) } -#'Create a grid of candidate designs +#' Create a grid of candidate designs #' #' @param p0 the response rate under the null hypothesis #' @param p1 the response rate under the alternate hypothesis @@ -53,56 +59,56 @@ isAugmented <- function(grid) { #' @param mander is a Mander & Thompson or a Simon's design required? #' @return a tibble. See Usage notes for a list and description of columns. #' @examples -#' #Standard use for a Simon's 2-stage design -#' x <- createGrid(p0=0.1, p1=0.5, alpha=0.1, beta=0.1, mander=FALSE) -#' #Custom search bounds for a Mander & Thompson design -#' y <- createGrid(p0=0.1, p1=0.4, alpha=0.1, beta=0.1, nMin=20, nMax=30) +#' # Standard use for a Simon's 2-stage design +#' x <- createGrid(p0 = 0.1, p1 = 0.5, alpha = 0.1, beta = 0.1, mander = FALSE) +#' # Custom search bounds for a Mander & Thompson design +#' y <- createGrid(p0 = 0.1, p1 = 0.4, alpha = 0.1, beta = 0.1, nMin = 20, nMax = 30) #' @importFrom magrittr %>% #' @importFrom tibble tibble #' @export createGrid <- function(p0, p1, - alpha=0.1, - beta=NA, - power=ifelse(is.na(beta), 0.9, 1 - beta), - nMin=NA, - nMax=NA, - mander=TRUE - ) -{ + alpha = 0.1, + beta = NA, + power = ifelse(is.na(beta), 0.9, 1 - beta), + nMin = NA, + nMax = NA, + mander = TRUE) { logger::log_debug("Entry") - #Validation + # Validation if (is.na(p0)) stop("You must provide a value for p0") if (is.na(p1)) stop("You must provide a value for p1") if (p0 < 0 || p0 > 1) stop("p0 must be between 0 and 1") if (p1 < 0 || p1 > 1) stop("p1 must be between 0 and 1") if (p1 <= p0) stop("p1 must be strictly greater than p0") if (alpha < 0 || alpha > 1) stop("alpha must be between 0 and 1") - if (!is.na(power)) if (power < 0 || power > 1) { - stop("power must be between 0 and 1") + if (!is.na(power)) { + if (power < 0 || power > 1) { + stop("power must be between 0 and 1") + } } - if (!is.na(beta)) if (beta < 0 || beta > 1) { - stop("beta must be between 0 and 1") + if (!is.na(beta)) { + if (beta < 0 || beta > 1) { + stop("beta must be between 0 and 1") + } } - if (!is.na(power) & !is.na(beta) & !isTRUE(all.equal(beta, (1-power)))) { + if (!is.na(power) & !is.na(beta) & !isTRUE(all.equal(beta, (1 - power)))) { stop("Inconsistent values for beta and power") } if (is.na(power) & is.na(beta)) { stop("Both beta and power are null. At least one must be not null.") } - #Initialise + # Initialise if (is.na(beta)) beta <- 1 - power if (is.na(nMin) | is.na(nMax)) { - bounds <- searchBounds(p0, p1, alpha, beta, twoSided=FALSE) + bounds <- searchBounds(p0, p1, alpha, beta, twoSided = FALSE) } - if (is.na(nMin)) - { + if (is.na(nMin)) { nMin <- bounds["min"] logger::log_debug(paste0("Using default value for nMin: ", nMin)) } - if (is.na(nMax)) - { + if (is.na(nMax)) { nMax <- bounds["max"] logger::log_debug(paste0("Using default value for nMax: ", nMax)) } @@ -119,11 +125,11 @@ createGrid <- function(p0, ) if (nMax <= nMin) stop("nMax must be strictly greater than nMin.") - #Begin + # Begin nTotal <- nMin:nMax - nStage1 <- 1:(nMax-1) - rTotal <- 0:(nMax-1) - rFutility <- 0:(nMax-1) + nStage1 <- 1:(nMax - 1) + rTotal <- 0:(nMax - 1) + rFutility <- 0:(nMax - 1) if (mander) { rSuccess <- 0:nMax } else { @@ -135,11 +141,11 @@ createGrid <- function(p0, # dplyr::expand(nTotal, nStage1, rTotal, rFutility, rSuccess) # so build up and filter in stages. d <- tibble::tibble() %>% tidyr::expand(nTotal, nStage1) - d <- d %>% dplyr::filter(nTotal >= nMin, nStage1 < nTotal) + d <- d %>% dplyr::filter(nTotal >= nMin, nStage1 < nTotal) logger::log_trace(paste0("Building grid - nTotal, nStage1: ", nrow(d))) d <- d %>% tidyr::expand(tidyr::nesting(nTotal, nStage1), rTotal) - d <- d %>% dplyr::filter(rTotal < nTotal) + d <- d %>% dplyr::filter(rTotal < nTotal) logger::log_trace(paste0("Building grid - nTotal, nStage1, rTotal: ", nrow(d))) d <- d %>% tidyr::expand(tidyr::nesting(nTotal, nStage1, rTotal), rFutility) @@ -175,17 +181,17 @@ createGrid <- function(p0, } d <- d %>% dplyr::mutate( - p0=p0, - p1=p1, - Alpha=alpha, - Beta=beta + p0 = p0, + p1 = p1, + Alpha = alpha, + Beta = beta ) if (!mander) { d <- d %>% dplyr::select(-rSuccess) } logger::log_trace(paste0("Grid has ", nrow(d), " rows.")) logger::log_debug("Exit") - return (d) + return(d) } #' Obtain default bounds for the construction of the search grid. @@ -201,20 +207,20 @@ createGrid <- function(p0, #' Fleiss et al; "min" - the lower bound, 0.8*n; "max" - the upper bound, 2*n. #' \code{floor()} and \code{ceiling()} are applied as appropriate. #' @export -searchBounds <- function(p0, p1, alpha=0.05, beta=0.2, twoSided=TRUE) { +searchBounds <- function(p0, p1, alpha = 0.05, beta = 0.2, twoSided = TRUE) { logger::log_debug("Entry") if (twoSided) alpha <- alpha / 2 # Sample size formula based on Fleiss JL, Levin B and Paik MC (2003). # Statistical Methods for Rates and Proportions, Third Edition, # John Wiley & Sons, New York - n <- ((stats::qnorm(1 - alpha)*sqrt(p0*(1-p0)) + - stats::qnorm(1 - beta)*sqrt(p1*(1-p1))) / - (p0 - p1)) ^ 2 + n <- ((stats::qnorm(1 - alpha) * sqrt(p0 * (1 - p0)) + + stats::qnorm(1 - beta) * sqrt(p1 * (1 - p1))) / + (p0 - p1))^2 # Continuity correction from Fleiss et al - n <- n + 1/abs(p0-p1) - #Bounds based on ???? - rv <- c("n"=ceiling(n), "min"=floor(n*0.8), "max"=ceiling(n*2)) + n <- n + 1 / abs(p0 - p1) + # Bounds based on ???? + rv <- c("n" = ceiling(n), "min" = floor(n * 0.8), "max" = ceiling(n * 2)) logger::log_debug("Exit") return(rv) } @@ -234,10 +240,10 @@ searchBounds <- function(p0, p1, alpha=0.05, beta=0.2, twoSided=TRUE) { #' paralellisation is requested and needed, an exception is thrown if the #' parallel package is not available. #' @examples -#' x <- createGrid(p0=0.1, p1=0.30, alpha=0.1, beta=0.1, nMin=24, nMax=32) %>% -#' augmentGrid(parallel=FALSE) +#' x <- createGrid(p0 = 0.1, p1 = 0.30, alpha = 0.1, beta = 0.1, nMin = 24, nMax = 32) %>% +#' augmentGrid(parallel = FALSE) #' @export -augmentGrid <- function(d, parallel=TRUE, cores=NA, minChunkSize=100000) { +augmentGrid <- function(d, parallel = TRUE, cores = NA, minChunkSize = 100000) { logger::log_debug("Entry") k <- d %>% nrow() if (parallel) { @@ -248,7 +254,7 @@ augmentGrid <- function(d, parallel=TRUE, cores=NA, minChunkSize=100000) { "] is less than the minimum chunk size [", minChunkSize, "]. Parallelisation will not occur" ), - namespace="mtdesign" + namespace = "mtdesign" ) parallel <- FALSE } @@ -263,24 +269,26 @@ augmentGrid <- function(d, parallel=TRUE, cores=NA, minChunkSize=100000) { logger::log_trace("Starting parallelisation") logger::log_trace(paste0("Requesting ", cores, " cores")) logger::log_trace(paste0("k is ", k)) - chunkSize <- ceiling(k/cores) + chunkSize <- ceiling(k / cores) logger::log_trace(paste0("Creating chunk list. Chunk size is ", chunkSize)) - tmp <- d %>% dplyr::mutate(Chunk=ceiling(dplyr::row_number()/chunkSize)) + tmp <- d %>% dplyr::mutate(Chunk = ceiling(dplyr::row_number() / chunkSize)) parallelList <- tmp %>% dplyr::group_by(Chunk) %>% dplyr::group_map(function(.x, .y) .x) logger::log_trace("Creating cluster") cluster <- parallel::makeCluster(cores) logger::log_trace("Initialising nodes") - parallel::clusterEvalQ(cluster, { library(parallel) }) + parallel::clusterEvalQ(cluster, { + library(parallel) + }) logger::log_trace("Running parLapply") d <- parallel::parLapply( cluster, parallelList, augmentGrid, - parallel=FALSE + parallel = FALSE ) %>% - dplyr::bind_rows() + dplyr::bind_rows() logger::log_trace("Stopping cluster") suppressWarnings(parallel::stopCluster(cluster)) } else { @@ -293,18 +301,18 @@ augmentGrid <- function(d, parallel=TRUE, cores=NA, minChunkSize=100000) { ) ) } - #The return type of a data frame from Rcpp is unreliable, so wrap it here - #to make sure all is good + # The return type of a data frame from Rcpp is unreliable, so wrap it here + # to make sure all is good cls <- class(d) d <- tibble::as_tibble(augmentGridC(d)) class(d) <- cls } # Bug fix if (isManderGrid(d)) { - d <- d %>% dplyr::mutate(rSuccess=as.integer(rSuccess)) + d <- d %>% dplyr::mutate(rSuccess = as.integer(rSuccess)) } logger::log_debug("Exit") - return (d) + return(d) } @@ -349,38 +357,38 @@ augmentGrid <- function(d, parallel=TRUE, cores=NA, minChunkSize=100000) { #' under constraints - for example with fixed stage sizes. #' @examples #' \donttest{ -#' #Standard use (Simon's 2-stage design) -#' createGrid(p0=0.05, p1=0.25, alpha=0.05, beta=0.2, mander=FALSE) %>% -#' augmentGrid(parallel=FALSE) %>% +#' # Standard use (Simon's 2-stage design) +#' createGrid(p0 = 0.05, p1 = 0.25, alpha = 0.05, beta = 0.2, mander = FALSE) %>% +#' augmentGrid(parallel = FALSE) %>% +#' obtainDesign() +#' # Constrained stage sizes +#' createGrid(p0 = 0.25, p1 = 0.45, alpha = 0.05, beta = 0.2) %>% +#' dplyr::filter(nStage1 == 8) %>% +#' augmentGrid(parallel = FALSE) %>% #' obtainDesign() -#' #Constrained stage sizes -#'createGrid(p0=0.25, p1=0.45, alpha=0.05, beta=0.2) %>% -#' dplyr::filter(nStage1 == 8) %>% -#' augmentGrid(parallel=FALSE) %>% -#' obtainDesign() #' } #' @export -obtainDesign <- function(grid=NULL, - p0=NA, - p1=NA, - alpha=ifelse(is.null(grid), 0.05, NA), - beta=ifelse(is.null(grid), 0.1, NA), - fullGrid=FALSE, +obtainDesign <- function(grid = NULL, + p0 = NA, + p1 = NA, + alpha = ifelse(is.null(grid), 0.05, NA), + beta = ifelse(is.null(grid), 0.1, NA), + fullGrid = FALSE, ...) { logger::log_debug("Entry") - #Initialise + # Initialise dots <- list(...) - #Validate + # Validate if (is.null(grid)) { - if (is.na(p0) | is.na(p1) | is.na(alpha) | is.na(beta)) { + if (is.na(p0) | is.na(p1) | is.na(alpha) | is.na(beta)) { stop("If you do not supply a grid, then you must supply all of p0, p1, alpha and beta.") } - if (p0 <= 0 | p0 >= 1) stop ("p0 must be between 0 and 1") - if (p1 <= 0 | p1 >= 1) stop ("p1 must be between 0 and 1") - if (alpha <= 0 | alpha >= 1) stop ("alpha must be between 0 and 1") - if (beta <= 0 | beta >= 1) stop ("beta must be between 0 and 1") + if (p0 <= 0 | p0 >= 1) stop("p0 must be between 0 and 1") + if (p1 <= 0 | p1 >= 1) stop("p1 must be between 0 and 1") + if (alpha <= 0 | alpha >= 1) stop("alpha must be between 0 and 1") + if (beta <= 0 | beta >= 1) stop("beta must be between 0 and 1") } else { - if(!(grid %>% isBasicGrid())) { + if (!(grid %>% isBasicGrid())) { stop("Grid must be a tibble created by createGrid()") } if (!is.na(p0)) { @@ -397,26 +405,28 @@ obtainDesign <- function(grid=NULL, } } - #Begin + # Begin # Calls to do.call are required to separate the dot list appropriately # Function name as string as workaround for https://github.com/daroczig/logger/issues/114 - if (is.null(grid)) grid <- - do.call( - "createGrid", - c( - list(p0=p0, p1=p1, alpha=alpha, beta=beta), - dots[names(dots) %in% names(formals(mtdesign::createGrid))] + if (is.null(grid)) { + grid <- + do.call( + "createGrid", + c( + list(p0 = p0, p1 = p1, alpha = alpha, beta = beta), + dots[names(dots) %in% names(formals(mtdesign::createGrid))] + ) ) - ) + } if (!(grid %>% isAugmented())) { grid <- - do.call( - "augmentGrid", - c( - list(d=grid), - dots[names(dots) %in% names(formals(mtdesign::augmentGrid))] + do.call( + "augmentGrid", + c( + list(d = grid), + dots[names(dots) %in% names(formals(mtdesign::augmentGrid))] + ) ) - ) } if (fullGrid) { return(grid) @@ -435,7 +445,7 @@ obtainDesign <- function(grid=NULL, rv[[1]] <- acceptableGrid %>% dplyr::slice(which.min(AveSizeNull)) %>% dplyr::mutate( - Criterion=ifelse( + Criterion = ifelse( acceptableGrid %>% isManderGrid(), "optimalNull", "optimal" @@ -445,7 +455,7 @@ obtainDesign <- function(grid=NULL, dplyr::slice_min(nTotal) %>% dplyr::slice_min(AveSizeNull) %>% dplyr::mutate( - Criterion=ifelse( + Criterion = ifelse( acceptableGrid %>% isManderGrid(), "minimaxNull", "minimax" @@ -454,16 +464,16 @@ obtainDesign <- function(grid=NULL, if (isManderGrid(grid)) { rv[[3]] <- acceptableGrid %>% dplyr::slice_min(AveSizeAlt) %>% - dplyr::mutate(Criterion="optimalAlt") + dplyr::mutate(Criterion = "optimalAlt") rv[[4]] <- acceptableGrid %>% dplyr::slice_min(nTotal) %>% dplyr::slice_min(AveSizeAlt) %>% - dplyr::mutate(Criterion="minimaxAlt") + dplyr::mutate(Criterion = "minimaxAlt") } rv <- dplyr::bind_rows(rv) class(rv) <- class(grid) logger::log_debug("Exit") - return (rv) + return(rv) } } @@ -475,22 +485,22 @@ obtainDesign <- function(grid=NULL, #' be plotted #' @return the ggplot object containing the power curve(s) #' @examples -#' createGrid(p0=0.05, p1=0.25, alpha=0.05, beta=0.2, mander=FALSE) %>% -#' augmentGrid(cores=2) %>% +#' createGrid(p0 = 0.05, p1 = 0.25, alpha = 0.05, beta = 0.2, mander = FALSE) %>% +#' augmentGrid(cores = 2) %>% #' obtainDesign() %>% -#' powerPlot(probs=seq(0, 0.5, 0.025)) +#' powerPlot(probs = seq(0, 0.5, 0.025)) #' @export -powerPlot <- function(grid, probs=seq(0, 1, 0.01)) { +powerPlot <- function(grid, probs = seq(0, 1, 0.01)) { logger::log_debug("Entry") if (is.null(grid)) stop("grid cannot be null") if (!isBasicGrid(grid)) stop("Grid must be a tibble created by createGrid()") if (isManderGrid(grid)) { plotData <- grid %>% - dplyr::mutate(Design=c(1:nrow(grid))) %>% + dplyr::mutate(Design = c(seq_len(nrow(grid)))) %>% dplyr::group_by(Design) %>% dplyr::mutate( - Label=paste0( + Label = paste0( "(", rFutility, " ", @@ -530,19 +540,19 @@ powerPlot <- function(grid, probs=seq(0, 1, 0.01)) { p0, p1 ), - pResponse=probs + pResponse = probs ) %>% dplyr::group_by(Design, pResponse) %>% dplyr::mutate( - pReject=1 - manderProb(pResponse, nStage1, rFutility, rSuccess, nTotal, rTotal) + pReject = 1 - manderProb(pResponse, nStage1, rFutility, rSuccess, nTotal, rTotal) ) %>% dplyr::ungroup() } else { plotData <- grid %>% - dplyr::mutate(Design=1:nrow(grid)) %>% + dplyr::mutate(Design = seq_len(nrow(grid))) %>% dplyr::group_by(Design) %>% dplyr::mutate( - Label=paste0( + Label = paste0( rFutility, "/", nStage1, @@ -550,7 +560,7 @@ powerPlot <- function(grid, probs=seq(0, 1, 0.01)) { rTotal, "/", nTotal - ) + ) ) %>% dplyr::select( Design, @@ -577,28 +587,29 @@ powerPlot <- function(grid, probs=seq(0, 1, 0.01)) { p0, p1 ), - pResponse=probs + pResponse = probs ) %>% dplyr::group_by(Design, pResponse) %>% dplyr::mutate( - pReject=1 - simonProb(pResponse, nStage1, rFutility, nTotal, rTotal) + pReject = 1 - simonProb(pResponse, nStage1, rFutility, nTotal, rTotal) ) %>% dplyr::ungroup() } plot <- plotData %>% - ggplot2::ggplot() + - ggplot2::geom_line( - ggplot2::aes( - x=pResponse, - y=pReject, - colour=Label) - ) + - ggplot2::labs( - x="True response rate", - y="p(Signal detected)" - ) + - ggplot2::theme_light() + - ggplot2::theme(legend.title=ggplot2::element_blank()) + ggplot2::ggplot() + + ggplot2::geom_line( + ggplot2::aes( + x = pResponse, + y = pReject, + colour = Label + ) + ) + + ggplot2::labs( + x = "True response rate", + y = "p(Signal detected)" + ) + + ggplot2::theme_light() + + ggplot2::theme(legend.title = ggplot2::element_blank()) logger::log_debug("Exit") return(plot) } diff --git a/R/zzzz.R b/R/zzzz.R index 08cf6b2..bc1f34f 100644 --- a/R/zzzz.R +++ b/R/zzzz.R @@ -12,7 +12,7 @@ p0 <- NULL p1 <- NULL pReject <- NULL pResponse <- NULL -rFutility<- NULL +rFutility <- NULL rSuccess <- NULL rTotal <- NULL Chunk <- NULL diff --git a/README.Rmd b/README.Rmd index 3d8b209..02328c0 100644 --- a/README.Rmd +++ b/README.Rmd @@ -20,6 +20,7 @@ knitr::opts_chunk$set( [![CRAN status](https://www.r-pkg.org/badges/version/mtdesign)](https://CRAN.R-project.org/package=mtdesign) +[![Test Coverage](https://raw.githubusercontent.com/openpharma/mtdesign/_xml_coverage_reports/data/main/badge.svg)](https://github.com/openpharma/mtdesign/blob/_xml_coverage_reports/data/main/coverage.xml) ## Introduction @@ -73,12 +74,12 @@ Obtaining the equivalent Mander & Thompson designs requires only a small change ```{r} manderDesign <- obtainDesign( - p0 = 0.05, - p1 = 0.25, - alpha = 0.05, - beta = 0.2, - cores = maxCores - ) + p0 = 0.05, + p1 = 0.25, + alpha = 0.05, + beta = 0.2, + cores = maxCores +) manderDesign %>% select(-Alpha, -Beta, -p0, -p1) %>% @@ -169,9 +170,11 @@ The `parallel` package is required for parallelisation. If parallelisation is b ## Troubleshooting If, when installing or using the `mtdesign` package, you get an error regarding a syntax error in an`.hpp` file, similar to the following -``` + +```R .../BH/include/boost/math/tools/fraction.hpp:84:48: error: ‘long double’ is not a class, struct, or union type using value_type = typename T::value_type; ``` + the issue is most likely a mismatch between the g++ compiler being used and the headers supplied by the `BH` package. There are only two solutions that I know of: * Upgrade g++ diff --git a/README.md b/README.md index c0e6b1a..c1c6c98 100644 --- a/README.md +++ b/README.md @@ -1,4 +1,3 @@ - # mtdesign @@ -7,6 +6,9 @@ [![CRAN status](https://www.r-pkg.org/badges/version/mtdesign)](https://CRAN.R-project.org/package=mtdesign) +[![Test +Coverage](https://raw.githubusercontent.com/openpharma/mtdesign/_xml_coverage_reports/data/main/badge.svg)](https://github.com/openpharma/mtdesign/blob/_xml_coverage_reports/data/main/coverage.xml) + ## Introduction @@ -32,7 +34,7 @@ You can install the development version of `mtdesign` from ## Set up vignette environment -``` r +```r # By policy, on CRAN, use only two cores, no matter how many are available. if (requireNamespace("parallel", quietly = TRUE)) { maxCores <- parallel::detectCores() @@ -49,7 +51,7 @@ interest but those with a response rate of at least 25% are worthy of further development. A Simon’s 2-stage design to seek an efficacy signal with a significance level of 5% and a power of 80% is required. -``` r +```r library(mtdesign) library(knitr) library(dplyr) @@ -70,7 +72,7 @@ simonDesign %>% ``` | nTotal | nStage1 | rTotal | rFutility | Type1 | Type2 | PETNull | AveSizeNull | Criterion | -|-------:|--------:|-------:|----------:|------:|------:|--------:|------------:|:----------| +| -----: | ------: | -----: | --------: | ----: | ----: | ------: | ----------: | :-------- | | 17 | 9 | 2 | 0 | 0.047 | 0.188 | 0.63 | 12.0 | optimal | | 16 | 12 | 2 | 0 | 0.043 | 0.199 | 0.54 | 13.8 | minimax | @@ -81,7 +83,7 @@ the power level achieved is 100% - 18.8% = 81.2%. The power curves for both designs are easily plotted. -``` r +```r powerPlot(simonDesign) ``` @@ -90,14 +92,14 @@ powerPlot(simonDesign) Obtaining the equivalent Mander & Thompson designs requires only a small change to the calls. -``` r +```r manderDesign <- obtainDesign( - p0 = 0.05, - p1 = 0.25, - alpha = 0.05, - beta = 0.2, - cores = maxCores - ) + p0 = 0.05, + p1 = 0.25, + alpha = 0.05, + beta = 0.2, + cores = maxCores +) manderDesign %>% select(-Alpha, -Beta, -p0, -p1) %>% @@ -105,13 +107,14 @@ manderDesign %>% ``` | nTotal | nStage1 | rTotal | rFutility | rSuccess | Type1 | Type2 | PETNull | PETAlt | AveSizeNull | AveSizeAlt | Criterion | -|-------:|--------:|-------:|----------:|---------:|------:|------:|--------:|-------:|------------:|-----------:|:------------| +| -----: | ------: | -----: | --------: | -------: | ----: | ----: | ------: | -----: | ----------: | ---------: | :---------- | | 17 | 9 | 2 | 0 | 2 | 0.047 | 0.19 | 0.64 | 0.47 | 11.9 | NA | optimalNull | | 16 | 12 | 2 | 0 | 2 | 0.043 | 0.20 | 0.56 | 0.64 | 13.8 | NA | minimaxNull | | 17 | 9 | 2 | 0 | 2 | 0.047 | 0.19 | 0.64 | 0.47 | 11.9 | NA | optimalAlt | | 16 | 12 | 2 | 0 | 2 | 0.043 | 0.20 | 0.56 | 0.64 | 13.8 | NA | minimaxAlt | -``` r +```r + powerPlot(manderDesign) ``` @@ -125,7 +128,7 @@ stage design is 0/9 2/17. That’s close to n1 = 8, n = 16. Is there a (slightly) sub-optimal design that has n1 = 8, n = 16? -``` r +```r x <- createGrid(p0 = 0.05, p1 = 0.25, alpha = 0.05, beta = 0.2, mander = FALSE) y <- x %>% filter(nStage1 == 8, nTotal == 16) @@ -144,7 +147,7 @@ if (nrow(z) == 0) { No, there isn’t. How close can we get? -``` r +```r z1 <- y %>% augmentGrid() bestSize <- z1 %>% @@ -159,12 +162,13 @@ bestSize %>% ``` | nTotal | nStage1 | rTotal | rFutility | Type1 | Type2 | PETNull | AveSizeNull | -|-------:|--------:|-------:|----------:|------:|------:|--------:|------------:| +| -----: | ------: | -----: | --------: | ----: | ----: | ------: | ----------: | | 16 | 8 | 2 | 0 | 0.039 | 0.229 | 0.66 | 10.7 | Best sub-optimal design with required significance level -``` r +```r + bestPower <- z1 %>% filter(Type2 < Beta) %>% slice_min(Type1) @@ -178,7 +182,7 @@ bestPower %>% ``` | nTotal | nStage1 | rTotal | rFutility | Type1 | Type2 | PETNull | AveSizeNull | -|-------:|--------:|-------:|----------:|------:|------:|--------:|------------:| +| -----: | ------: | -----: | --------: | ----: | ----: | ------: | ----------: | | 16 | 8 | 1 | 0 | 0.151 | 0.127 | 0.66 | 10.7 | Best sub-optimal design with required power @@ -194,7 +198,7 @@ level. The power curve for each of these designs can be compared with that for the globally optimal design. -``` r +```r plotData1 <- simonDesign %>% filter(Criterion == "optimal") %>% bind_rows(list(bestSize, bestPower)) @@ -207,15 +211,15 @@ powerPlot(plotData1) The `mtdesign` package consists of three main functions: -- `createGrid` creates the grid (of nStage1, rFutility, nTotal and - rTotal for Simon’s design or nStage1, rFutility, rSuccess, nTotal - and rTotal for a Mander & Thompson design) over which the brute - force search for the required design(s) is conducted -- `augmentGrid`takes a grid created by `createGrid` and adds columns - for probability of early termination, Type 1 error, Type 2 error and - expected sample size to it. -- `obtainDesign` takes an augmented grid and identifies the optimal - and minimax designs +* `createGrid` creates the grid (of nStage1, rFutility, nTotal and + rTotal for Simon’s design or nStage1, rFutility, rSuccess, nTotal and + rTotal for a Mander & Thompson design) over which the brute force + search for the required design(s) is conducted +* `augmentGrid`takes a grid created by `createGrid` and adds columns for + probability of early termination, Type 1 error, Type 2 error and + expected sample size to it. +* `obtainDesign` takes an augmented grid and identifies the optimal and + minimax designs ## Error and warning messages and logging @@ -240,13 +244,13 @@ attempt to speed up the evaluation of candidate designs. The `augmentGrid` function allows users some control over the parallelisation process: -- The `parallel` parameter defaults to `TRUE` and defines whether or - not paralellisation is to be used. -- The `cores` parameter specifies how many cores are to be used. The - default value, `NA` tells `mtdesign` to use all available (as - defined by `parallel::detectCores()`), cores. -- The `minChunkSize` determines the smallest grid of candidate designs - that will trigger paralellisation. The default value is `100000`. +* The `parallel` parameter defaults to `TRUE` and defines whether or not + paralellisation is to be used. +* The `cores` parameter specifies how many cores are to be used. The + default value, `NA` tells `mtdesign` to use all available (as defined + by `parallel::detectCores()`), cores. +* The `minChunkSize` determines the smallest grid of candidate designs + that will trigger paralellisation. The default value is `100000`. The `parallel` package is required for parallelisation. If parallelisation is both needed (ie the grid size exceeds `minChunkSize`) @@ -260,16 +264,18 @@ more rows, a warning is produced. If, when installing or using the `mtdesign` package, you get an error regarding a syntax error in an`.hpp` file, similar to the following - .../BH/include/boost/math/tools/fraction.hpp:84:48: error: ‘long double’ is not a class, struct, or union type using value_type = typename T::value_type; +```r +.../BH/include/boost/math/tools/fraction.hpp:84:48: error: ‘long double’ is not a class, struct, or union type using value_type = typename T::value_type; +``` the issue is most likely a mismatch between the g++ compiler being used and the headers supplied by the `BH` package. There are only two solutions that I know of: -- Upgrade g++ -- Downgrade the version of the `BH` package you are using. The - appropriate package version depends on the version of the g++ - compiler you are using. +* Upgrade g++ +* Downgrade the version of the `BH` package you are using. The + appropriate package version depends on the version of the g++ compiler + you are using. ## References @@ -277,8 +283,8 @@ solutions that I know of:
-Daróczi, Gergely. 2021. *Logger: A Lightweight, Modern and Flexible -Logging Utility*. . +Daróczi, Gergely. 2021. _Logger: A Lightweight, Modern and Flexible +Logging Utility_. .
@@ -286,8 +292,8 @@ Logging Utility*. . Mander, AP, and Thompson, SG. 2010. “Two-Stage Designs Optimal Under the Alternative Hypothesis for Phase II Cancer Clinical Trials.” -*Contemporary Clinical Trials* 31 (6): 572–78. -https://doi.org/. +_Contemporary Clinical Trials_ 31 (6): 572–78. +. @@ -301,8 +307,8 @@ Functions.” Software. .
Simon, R. 1989. “Optimal Two-Stage Designs for Phase II Clinical -Trials.” *Controlled Clinical Trials* 10 (1): 1–10. -https://doi.org/. +Trials.” _Controlled Clinical Trials_ 10 (1): 1–10. +.
diff --git a/_pkgdown.yml b/_pkgdown.yml index b940a39..5267d4e 100644 --- a/_pkgdown.yml +++ b/_pkgdown.yml @@ -3,7 +3,7 @@ url: https://openpharma.github.io/mtdesign template: bootstrap: 5 - bootswatch: cerulean + bootswatch: flatly navbar: right: diff --git a/cran-comments.md b/cran-comments.md index b557ffa..87b6ac8 100644 --- a/cran-comments.md +++ b/cran-comments.md @@ -1,14 +1,16 @@ -## Second resubmission +# Second resubmission + I have -* replaced the original `Author:` field in DESCRIPTION with `Authors@R: person(...)` -* deleted the `Maintainer:` field in DESCRIPTION as it is now covered by roles="cre" `Authors@R:` -* added `doi` links to the references in DESCRIPTION -* added a check to README.Rmd to limit the number of cores used to two if `!identical(Sys.getenv("NOT_CRAN"), "true")` -* checked example code to ensure that all calls to `augmentGrid` have either `parallel=FALSE` or `cores=2`. Similarly, calls to `obtainDesign` are either in a pipe containing a call to `augmentGrid` with such parameters or have `parallel=FALSE` themselves. +* replaced the original `Author:` field in DESCRIPTION with `Authors@R: person(...)` +* deleted the `Maintainer:` field in DESCRIPTION as it is now covered by roles="cre" `Authors@R:` +* added `doi` links to the references in DESCRIPTION +* added a check to README.Rmd to limit the number of cores used to two if `!identical(Sys.getenv("NOT_CRAN"), "true")` +* checked example code to ensure that all calls to `augmentGrid` have either `parallel=FALSE` or `cores=2`. Similarly, calls to `obtainDesign` are either in a pipe containing a call to `augmentGrid` with such parameters or have `parallel=FALSE` themselves. ## Resubmission -In this resubmission I have + +In this resubmission I have * Corrected the URL that links to the original Mander & Thompson paper. My apologies for the original error. * Added a "first release" section to NEWS.md" @@ -24,28 +26,29 @@ Duration: 5m 41.1s 0 errors ✔ | 0 warnings ✔ | 0 notes ✔ ## check_rhub_release() results + Ran `devtools::check_rhub()`. Three builds were successful. The build for Debian Linux failed with a PREPERROR. ### Debian Linux + I have found two types of error in the build log * (First occurrence on line 176) Bioconductor does not yet build and check packages for R version 4.3 This is outside my control. -* Various C++ compile time errors, such as +* Various C++ compile time errors, such as * /home/docker/R/BH/include/boost/math/tools/config.hpp:275:32: error: expected initializer before ‘noexcept’ 3862#> 275 | #define BOOST_MATH_NOEXCEPT(T) noexcept(std::is_floating_point::value) * /home/docker/R/BH/include/boost/math/tools/config.hpp:400:11: error: ‘constexpr’ does not name a type 3880#> 400 | static constexpr bool value = std::is_integral::value || (std::numeric_limits::is_specialized && std::numeric_limits::is_integer); * /home/docker/R/BH/include/boost/math/tools/promotion.hpp:62:53: error: expected nested-name-specifier before ‘type’ 3891#> 62 | template <> struct promote_arg{ using type = double; }; - + My understanding is that these errors are caused by incompatibilities between an out-of-date g++ compiler and the header files provided by the `BH` package. [https://builder.r-hub.io/status/mtdesign_0.1.0.tar.gz-8bd9afe9fa324b7e81e49aad1184f785] - The NOTES reported by the other builds were: ### All operating systems @@ -64,17 +67,19 @@ The NOTES reported by the other builds were: ### Windows Server 2022 * checking for detritus in the temp directory ... NOTE Found the following files/directories: 'lastMiKTeXException' - - Please see [https://github.com/r-hub/rhub/issues/503] + + Please see [https://github.com/r-hub/rhub/issues/503] [https://builder.r-hub.io/status/mtdesign_0.1.0.tar.gz-3e29716188ba4734bbfa3aa3456d4bb7] ### Ubuntu Linux 20.04.1 + No other notes. [https://builder.r-hub.io/status/mtdesign_0.1.0.tar.gz-3888146ebfd343d58ac65dc18738eb09] -### Fedora Linux +### Fedora Linux + * checking HTML version of manual ... NOTE Skipping checking HTML validation: no command 'tidy' found I cannot add Tidy to the PATH, nor update Tidy on the external Fedora Linux server. @@ -82,6 +87,7 @@ No other notes. [https://builder.r-hub.io/status/mtdesign_0.1.0.tar.gz-a65ee4600cd74a23b54d390171868ea9] ## Downstream dependencies + There are currently no downstream dependencies for this package: it is a new package. ## Other diff --git a/inst/WORDLIST b/inst/WORDLIST new file mode 100644 index 0000000..fa1fdb8 --- /dev/null +++ b/inst/WORDLIST @@ -0,0 +1,35 @@ +AveSizeAlt +AveSizeNull +Clinfun +Daróczi +Fleiss +Gergely +Mander +PETAlt +PETNull +Seshan +VE +augmentGrid +cct +chunkSize +clinfun +createGrid +daroczig +doi +ggplot +github +ie +io +magrittr +minimaxAlt +minimaxNull +nStage +nTotal +optimalAlt +optimalNull +org +paralellisation +rFutility +rSuccess +rTotal +tibble diff --git a/man/augmentGrid.Rd b/man/augmentGrid.Rd index 82c1f1f..5464a7b 100644 --- a/man/augmentGrid.Rd +++ b/man/augmentGrid.Rd @@ -34,6 +34,6 @@ parallel package is not available. } \examples{ -x <- createGrid(p0=0.1, p1=0.30, alpha=0.1, beta=0.1, nMin=24, nMax=32) \%>\% - augmentGrid(parallel=FALSE) +x <- createGrid(p0 = 0.1, p1 = 0.30, alpha = 0.1, beta = 0.1, nMin = 24, nMax = 32) \%>\% + augmentGrid(parallel = FALSE) } diff --git a/man/createGrid.Rd b/man/createGrid.Rd index 6e49768..da096a8 100644 --- a/man/createGrid.Rd +++ b/man/createGrid.Rd @@ -41,8 +41,8 @@ a tibble. See Usage notes for a list and description of columns. Create a grid of candidate designs } \examples{ -#Standard use for a Simon's 2-stage design -x <- createGrid(p0=0.1, p1=0.5, alpha=0.1, beta=0.1, mander=FALSE) -#Custom search bounds for a Mander & Thompson design -y <- createGrid(p0=0.1, p1=0.4, alpha=0.1, beta=0.1, nMin=20, nMax=30) +# Standard use for a Simon's 2-stage design +x <- createGrid(p0 = 0.1, p1 = 0.5, alpha = 0.1, beta = 0.1, mander = FALSE) +# Custom search bounds for a Mander & Thompson design +y <- createGrid(p0 = 0.1, p1 = 0.4, alpha = 0.1, beta = 0.1, nMin = 20, nMax = 30) } diff --git a/man/figures/README-unnamed-chunk-2-1.png b/man/figures/README-unnamed-chunk-2-1.png index 57130c90935d4756463867f099a288d3b0ea97b0..e31a4257264319b5cb7140502dc483da7e3df2f9 100644 GIT binary patch literal 33073 zcmb?@WmuHo7ws@0AV`M-64H&dG=hM1cPZUScZnjPbPNqjcXz7v(A|S{cjtWp{r&HA zKi?0-L%eh5oU`{?d+oLNAxJ?^0u6-_1q1@2Nxprf1OkE6Kp?nzWJKUM?%!Y>AP@q& zxu~durKp6ct(C34@`v|^#uCOh#`flhN)jR<(5sLTRb8{^sgu^cq0(8en1wjiHaBh9g@1)jYMmOV&O&eo}pUYr0vaAOROR`+1_^RX6#9 zG3W-btxVS!;q_(b<8gzt$E|!;Nn{JyzbirN&r&e<%KGCY*aG#%7-{pq-Ly^zBCS%K zXdxgu>`jOAbLJG%kweA0xbhR^D25yTFMX=SW-VK%{pG{TUwYxf;A>7G^!BlTzF?-R zF3mUw7Bicdw_)BI*P1`xrvT~JH+;57*%xdzRP|_hzUG*l$357>kUbJ_iV5>~b^6KQ z-M;hYs*+Vd3B}1fu55E`Ox#?^5UcviE5Zvyt(VKO!6 z9UtJyGzosqxbt=K081@fuvI-b1tM~-&s2@uP9+eam-NK3^QF_(@rAQ`ay;@vB+pY+ z!f#Y8YL)vUoj&T7G#QxsRgOMk3p1Uv(^1`Usm-Z`%L-AXQQJC#t$1-EUBW*Qs|r=vE&X$hqZ$v zZg3PzsoY;1zOK2vZoe@#ikq+KZ<9*p#+>M%=(p^S8Mo2n^|Dd_S}(4aT0iEn?nr4$ zXu;&zIW>}O-+%i{e|5Y>f0bM7$qkY>ywB#eS~ce;M~@ncSDmePtHhyzoRMHAld9GG z^7J2?oN59k8I(z5F`l9bwKac)WQPoG1oeX1SIw^MhX*TY@1N@Og#G!Xo5$L&HdJ$<3C~8o+skWruS56| z7^o)g7XFsX6}8Q935Tt4Kt5py2e?=)jSZ+o5c?Y3z`j9s3^#!vFO+^o6< z#Me3ipy6$5;%p9qa)c8l&UpU;4*3wof+1Ztc zhKH%RxVY9js-SR(2M3gNbX|kDxvNV{8csROju!NEbfv-gq@=qe43 z@s;4&nM|dmf|b9TjRK!MU1hyF!DjK(-ob&2lXG;?c&6Mm%yDht#hS5BrA16M1cG#3 z^Sopo;W>dXeRkEwrv*qB$*_xModxQ4yw@`7XMHmVlC#0|%y0A}0*E)YC7UTt{rS3w zE_vq%G5uYss+XqmdhK zkvp)uqV_&TeZ#>{GEkdrB|wx&(Tgzhrxjg-#U*44eZj=Hvd`!iu*Rt zV@YDWMm{^Tv4VSBK0+?&R1?fltb2zqrnhul-{tPVGCw^^WNI0-xCehaRp0;S~8rzI6u&#a^^uXC!cc^wN3M))sci7C4NZqu& zn6cIy{~&cbxXN6vn>y|-OKK_SSl_H&+4W^QTJ>~L#RHb!-}|$9%KJ!lGk3DTdiJz$ zs(52Dz1Zh^E`2xudUt%cpiz|+iSXl?J8V2VzjA-A^k}zgx=^c6R#ksA-9ef*(&Q#9 zVBuDe<~DV6so%f3>@yYU7y<{gocfW&M9`E0_mSn*-f4pE?bOeF5>sd_(~EQLrTAM) zPW_0z)Vlr^quo)xTi-LSborC(h?3@;@B!W@ZKP85(J*zNCQ=jGnBt9JBDuVARHHm! zC>bupxA^SeoFrJsXJxWMJ=M!)o<-x~FnsC3s28={kHmROlS%DbAyRHa&7Xfv^r8=e zu8VqJn(e22nYow@$LZsh>q0|A%AW|SK`Xm&MZVQ?hb1vrs1^!99C@b~eDu^*Gz zrgS9aGuf@+FV=Iz>3y3v76@YnkRA_&*5e2=-6s7bs|xwfTYRI@-PILQWj!6Rfm`*; z#>Qrc6^*H?Qze}JyE=vFzKbfnLcJ%AzYKommvULqRGun>W}~~4tk@c9`mh{dulrn? 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This can then be further interrogated to find optimal designs \examples{ \donttest{ -#Standard use (Simon's 2-stage design) -createGrid(p0=0.05, p1=0.25, alpha=0.05, beta=0.2, mander=FALSE) \%>\% - augmentGrid(parallel=FALSE) \%>\% +# Standard use (Simon's 2-stage design) +createGrid(p0 = 0.05, p1 = 0.25, alpha = 0.05, beta = 0.2, mander = FALSE) \%>\% + augmentGrid(parallel = FALSE) \%>\% + obtainDesign() +# Constrained stage sizes +createGrid(p0 = 0.25, p1 = 0.45, alpha = 0.05, beta = 0.2) \%>\% + dplyr::filter(nStage1 == 8) \%>\% + augmentGrid(parallel = FALSE) \%>\% obtainDesign() -#Constrained stage sizes -createGrid(p0=0.25, p1=0.45, alpha=0.05, beta=0.2) \%>\% - dplyr::filter(nStage1 == 8) \%>\% - augmentGrid(parallel=FALSE) \%>\% - obtainDesign() } } diff --git a/man/powerPlot.Rd b/man/powerPlot.Rd index 55fceac..df24b35 100644 --- a/man/powerPlot.Rd +++ b/man/powerPlot.Rd @@ -20,8 +20,8 @@ the ggplot object containing the power curve(s) Plot the power curve(s) for the given design(s) } \examples{ -createGrid(p0=0.05, p1=0.25, alpha=0.05, beta=0.2, mander=FALSE) \%>\% - augmentGrid(cores=2) \%>\% +createGrid(p0 = 0.05, p1 = 0.25, alpha = 0.05, beta = 0.2, mander = FALSE) \%>\% + augmentGrid(cores = 2) \%>\% obtainDesign() \%>\% - powerPlot(probs=seq(0, 0.5, 0.025)) + powerPlot(probs = seq(0, 0.5, 0.025)) } diff --git a/tests/testthat/test-augmentGrid.R b/tests/testthat/test-augmentGrid.R index 36e8add..08a1217 100644 --- a/tests/testthat/test-augmentGrid.R +++ b/tests/testthat/test-augmentGrid.R @@ -1,6 +1,6 @@ test_that("augmentGrid works", { - x <- createGrid(p0=0.1, p1=0.5, alpha=0.05, beta=0.2) - y <- x %>% augmentGrid(parallel=FALSE) + x <- createGrid(p0 = 0.1, p1 = 0.5, alpha = 0.05, beta = 0.2) + y <- x %>% augmentGrid(parallel = FALSE) # Return value expect_true(isAugmented(y)) diff --git a/tests/testthat/test-createGrid.R b/tests/testthat/test-createGrid.R index 18509fb..4c72a89 100644 --- a/tests/testthat/test-createGrid.R +++ b/tests/testthat/test-createGrid.R @@ -1,5 +1,5 @@ test_that("createGrid works", { - x <- createGrid(p0=0.1, p1=0.5, alpha=0.05, beta=0.2) + x <- createGrid(p0 = 0.1, p1 = 0.5, alpha = 0.05, beta = 0.2) # Return type expect_true(is(x, "tbl")) @@ -25,7 +25,7 @@ test_that("createGrid works", { # All rows unique expect_identical(x, x %>% dplyr::distinct()) - x <- createGrid(p0=0.1, p1=0.5, alpha=0.05, beta=0.2, mander=FALSE) + x <- createGrid(p0 = 0.1, p1 = 0.5, alpha = 0.05, beta = 0.2, mander = FALSE) # Return type expect_true(is(x, "tbl")) diff --git a/tests/testthat/test-isAugmentedGrid.R b/tests/testthat/test-isAugmentedGrid.R index dd5f8b9..67486ed 100644 --- a/tests/testthat/test-isAugmentedGrid.R +++ b/tests/testthat/test-isAugmentedGrid.R @@ -29,4 +29,4 @@ test_that("isAugmented correctly identifies augmented grids", { expect_false(isAugmented(bad11)) expect_false(isAugmented(bad12)) expect_equal(isAugmented(tibble::tibble()), NA) -}) +}) \ No newline at end of file diff --git a/tests/testthat/test-isBasicGrid.R b/tests/testthat/test-isBasicGrid.R index f99d94c..5407848 100644 --- a/tests/testthat/test-isBasicGrid.R +++ b/tests/testthat/test-isBasicGrid.R @@ -1,13 +1,13 @@ test_that("isBasicGrid correctly identifies basic grids", { - good1 <- tibble::tibble(p0=NA, p1=NA, nStage1=NA, nTotal=NA, rFutility=NA, rTotal=NA) - good2 <- tibble::tibble(p0=NA, p1=NA, nStage1=NA, nTotal=NA, rFutility=NA, rTotal=NA, somethingElse=NA) + good1 <- tibble::tibble(p0 = NA, p1 = NA, nStage1 = NA, nTotal = NA, rFutility = NA, rTotal = NA) + good2 <- tibble::tibble(p0 = NA, p1 = NA, nStage1 = NA, nTotal = NA, rFutility = NA, rTotal = NA, somethingElse = NA) - bad1 <- tibble::tibble(p1=NA, nStage1=NA, nTotal=NA, rFutility=NA, rTotal=NA) - bad2 <- tibble::tibble(p0=NA, nStage1=NA, nTotal=NA, rFutility=NA, rTotal=NA) - bad3 <- tibble::tibble(p0=NA, p1=NA, nTotal=NA, rFutility=NA, rTotal=NA) - bad4 <- tibble::tibble(p0=NA, p1=NA, nStage1=NA, rFutility=NA, rTotal=NA) - bad5 <- tibble::tibble(p0=NA, p1=NA, nStage1=NA, nTotal=NA, rTotal=NA) - bad6 <- tibble::tibble(p0=NA, p1=NA, nStage1=NA, nTotal=NA, rFutility=NA) + bad1 <- tibble::tibble(p1 = NA, nStage1 = NA, nTotal = NA, rFutility = NA, rTotal = NA) + bad2 <- tibble::tibble(p0 = NA, nStage1 = NA, nTotal = NA, rFutility = NA, rTotal = NA) + bad3 <- tibble::tibble(p0 = NA, p1 = NA, nTotal = NA, rFutility = NA, rTotal = NA) + bad4 <- tibble::tibble(p0 = NA, p1 = NA, nStage1 = NA, rFutility = NA, rTotal = NA) + bad5 <- tibble::tibble(p0 = NA, p1 = NA, nStage1 = NA, nTotal = NA, rTotal = NA) + bad6 <- tibble::tibble(p0 = NA, p1 = NA, nStage1 = NA, nTotal = NA, rFutility = NA) expect_true(isBasicGrid(good1)) expect_true(isBasicGrid(as.data.frame(good1))) diff --git a/tests/testthat/test-isManderGrid.R b/tests/testthat/test-isManderGrid.R index 4226a93..4ca0e4e 100644 --- a/tests/testthat/test-isManderGrid.R +++ b/tests/testthat/test-isManderGrid.R @@ -1,14 +1,89 @@ test_that("isManderGrid correctly identifies Mander grids", { - good1 <- tibble::tibble(p0=NA, p1=NA, nStage1=NA, nTotal=NA, rFutility=NA, rSuccess=NA, rTotal=NA) - good2 <- tibble::tibble(p0=NA, p1=NA, nStage1=NA, nTotal=NA, rFutility=NA, rSuccess=NA,rTotal=NA, somethingElse=NA) + good1 <- + tibble::tibble( + p0 = NA, + p1 = NA, + nStage1 = NA, + nTotal = NA, + rFutility = NA, + rSuccess = NA, + rTotal = NA + ) + good2 <- + tibble::tibble( + p0 = NA, + p1 = NA, + nStage1 = NA, + nTotal = NA, + rFutility = NA, + rSuccess = NA, + rTotal = NA, + somethingElse = NA + ) - bad1 <- tibble::tibble(p1=NA, nStage1=NA, nTotal=NA, rFutility=NA, rSuccess=NA, rTotal=NA) - bad2 <- tibble::tibble(p0=NA, nStage1=NA, nTotal=NA, rFutility=NA, rSuccess=NA, rTotal=NA) - bad3 <- tibble::tibble(p0=NA, p1=NA, nTotal=NA, rFutility=NA, rSuccess=NA, rTotal=NA) - bad4 <- tibble::tibble(p0=NA, p1=NA, nStage1=NA, rFutility=NA, rSuccess=NA, rTotal=NA) - bad5 <- tibble::tibble(p0=NA, p1=NA, nStage1=NA, nTotal=NA, rSuccess=NA, rTotal=NA) - bad6 <- tibble::tibble(p0=NA, p1=NA, nStage1=NA, nTotal=NA, rFutility=NA, rSuccess=NA) - bad7 <- tibble::tibble(p0=NA, p1=NA, nStage1=NA, nTotal=NA, rFutility=NA, rTotal=NA) + bad1 <- + tibble::tibble( + p1 = NA, + nStage1 = NA, + nTotal = NA, + rFutility = NA, + rSuccess = NA, + rTotal = NA + ) + bad2 <- + tibble::tibble( + p0 = NA, + nStage1 = NA, + nTotal = NA, + rFutility = NA, + rSuccess = NA, + rTotal = NA + ) + bad3 <- + tibble::tibble( + p0 = NA, + p1 = NA, + nTotal = NA, + rFutility = NA, + rSuccess = NA, + rTotal = NA + ) + bad4 <- + tibble::tibble( + p0 = NA, + p1 = NA, + nStage1 = NA, + rFutility = NA, + rSuccess = NA, + rTotal = NA + ) + bad5 <- + tibble::tibble( + p0 = NA, + p1 = NA, + nStage1 = NA, + nTotal = NA, + rSuccess = NA, + rTotal = NA + ) + bad6 <- + tibble::tibble( + p0 = NA, + p1 = NA, + nStage1 = NA, + nTotal = NA, + rFutility = NA, + rSuccess = NA + ) + bad7 <- + tibble::tibble( + p0 = NA, + p1 = NA, + nStage1 = NA, + nTotal = NA, + rFutility = NA, + rTotal = NA + ) expect_true(isManderGrid(good1)) expect_true(isManderGrid(as.data.frame(good1))) diff --git a/tests/testthat/test-obtainDesign.R b/tests/testthat/test-obtainDesign.R index db223a2..ba3630b 100644 --- a/tests/testthat/test-obtainDesign.R +++ b/tests/testthat/test-obtainDesign.R @@ -1,98 +1,98 @@ -logger::log_threshold(logger::ERROR, namespace="mtdesign") +logger::log_threshold(logger::ERROR, namespace = "mtdesign") test_that("obtainDesign works", { # Mander & Thompson Section 3.2 observed <- obtainDesign( - p0=0.1, - p1=0.3, - alpha=0.05, - beta=0.15, - mander=FALSE, - parallel=FALSE - ) + p0 = 0.1, + p1 = 0.3, + alpha = 0.05, + beta = 0.15, + mander = FALSE, + parallel = FALSE + ) expected <- structure( - list( - nTotal = c(35L, 27L), - nStage1 = c(11L, 18L), - rTotal = 6:5, - rFutility = 1:2, - p0 = c(0.1, 0.1), - p1 = c(0.3, 0.3), - Alpha = c(0.05, 0.05), - Beta = c(0.15, 0.15), - Type1 = c(0.0422347997307906, 0.0444178417084868), - Type2 = c(0.148976337280657, 0.149452890006293), - PETNull = c(0.6973568802, 0.733795994785329), - PETAlt = c(0.1129900996, 0.0599522067475602), - AveSizeNull = c(18.2634348752, 20.395836046932), - AveSizeAlt = c(32.2882376096, 26.460430139272), - Criterion = c("optimal", "minimax") - ), - row.names = c(NA, -2L), - class = c("tbl_df", "tbl", "data.frame") - ) + list( + nTotal = c(35L, 27L), + nStage1 = c(11L, 18L), + rTotal = 6:5, + rFutility = 1:2, + p0 = c(0.1, 0.1), + p1 = c(0.3, 0.3), + Alpha = c(0.05, 0.05), + Beta = c(0.15, 0.15), + Type1 = c(0.0422347997307906, 0.0444178417084868), + Type2 = c(0.148976337280657, 0.149452890006293), + PETNull = c(0.6973568802, 0.733795994785329), + PETAlt = c(0.1129900996, 0.0599522067475602), + AveSizeNull = c(18.2634348752, 20.395836046932), + AveSizeAlt = c(32.2882376096, 26.460430139272), + Criterion = c("optimal", "minimax") + ), + row.names = c(NA, -2L), + class = c("tbl_df", "tbl", "data.frame") + ) expect_equal(observed, expected) # Mander & Thompson Section 4 observed <- obtainDesign( - p0=0.2, - p1=0.4, - alpha=0.1, - beta=0.1, - mander=FALSE, - parallel=FALSE - ) + p0 = 0.2, + p1 = 0.4, + alpha = 0.1, + beta = 0.1, + mander = FALSE, + parallel = FALSE + ) expected <- structure( - list( - nTotal = 37:36, - nStage1 = c(17L, 19L), - rTotal = c(10L, 10L), - rFutility = c(3L, 3L), - p0 = c(0.2, 0.2), - p1 = c(0.4, 0.4), - Alpha = c(0.1, 0.1), - Beta = c(0.1, 0.1), - Type1 = c(0.0947843743314956, 0.0860944606833201), - Type2 = c(0.0967257134075589, 0.0976469860520819), - PETNull = c(0.548876204585779, 0.455088742345789), - PETAlt = c(0.0464229308104704, 0.0229593208708399), - AveSizeNull = c(26.0224759082844, 28.2634913801216), - AveSizeAlt = c(36.0715413837906, 35.6096915451957), - Criterion = c("optimal", "minimax") - ), - row.names = c(NA, -2L), - class = c("tbl_df", "tbl", "data.frame") - ) + list( + nTotal = 37:36, + nStage1 = c(17L, 19L), + rTotal = c(10L, 10L), + rFutility = c(3L, 3L), + p0 = c(0.2, 0.2), + p1 = c(0.4, 0.4), + Alpha = c(0.1, 0.1), + Beta = c(0.1, 0.1), + Type1 = c(0.0947843743314956, 0.0860944606833201), + Type2 = c(0.0967257134075589, 0.0976469860520819), + PETNull = c(0.548876204585779, 0.455088742345789), + PETAlt = c(0.0464229308104704, 0.0229593208708399), + AveSizeNull = c(26.0224759082844, 28.2634913801216), + AveSizeAlt = c(36.0715413837906, 35.6096915451957), + Criterion = c("optimal", "minimax") + ), + row.names = c(NA, -2L), + class = c("tbl_df", "tbl", "data.frame") + ) expect_equal(observed, expected) expected <- structure( - list( - nTotal = c(41L, 35L, 38L, 35L), - nStage1 = c(16L, 27L, 15L, 27L), - rTotal = c(11L, 10L, 11L, 10L), - rFutility = c(3L, 5L, 1L, 5L), - rSuccess = c(6, 8, 5, 8), - p0 = c(0.2, 0.2, 0.2, 0.2), - p1 = c(0.4, 0.4, 0.4, 0.4), - Alpha = c(0.1, 0.1, 0.1, 0.1), - Beta = c(0.1, 0.1, 0.1, 0.1), - Type1 = c(0.0959982365130688, 0.0994811689904694, 0.0998619264781272, 0.0994811689904694), - Type2 = c(0.0984812292666625, 0.0970384917936091, 0.0951223618482245, 0.0970384917936091), - PETNull = c(0.62479165702144, 0.612310129358628, 0.228177197039616, 0.612310129358628), - PETAlt = c(0.537972628160512, 0.83154847959435, 0.601956484415488, 0.83154847959435), - AveSizeNull = c(25.380208574464, 30.101518965131, 32.7519244680888, 30.101518965131), - AveSizeAlt = c(27.5506842959872, 28.3476121632452, 24.1550008584438, 28.3476121632452), - Criterion = c("optimalNull", "minimaxNull", "optimalAlt", "minimaxAlt") - ), - row.names = c(NA, -4L), - class = c("tbl_df", "tbl", "data.frame") - ) + list( + nTotal = c(41L, 35L, 38L, 35L), + nStage1 = c(16L, 27L, 15L, 27L), + rTotal = c(11L, 10L, 11L, 10L), + rFutility = c(3L, 5L, 1L, 5L), + rSuccess = c(6, 8, 5, 8), + p0 = c(0.2, 0.2, 0.2, 0.2), + p1 = c(0.4, 0.4, 0.4, 0.4), + Alpha = c(0.1, 0.1, 0.1, 0.1), + Beta = c(0.1, 0.1, 0.1, 0.1), + Type1 = c(0.0959982365130688, 0.0994811689904694, 0.0998619264781272, 0.0994811689904694), + Type2 = c(0.0984812292666625, 0.0970384917936091, 0.0951223618482245, 0.0970384917936091), + PETNull = c(0.62479165702144, 0.612310129358628, 0.228177197039616, 0.612310129358628), + PETAlt = c(0.537972628160512, 0.83154847959435, 0.601956484415488, 0.83154847959435), + AveSizeNull = c(25.380208574464, 30.101518965131, 32.7519244680888, 30.101518965131), + AveSizeAlt = c(27.5506842959872, 28.3476121632452, 24.1550008584438, 28.3476121632452), + Criterion = c("optimalNull", "minimaxNull", "optimalAlt", "minimaxAlt") + ), + row.names = c(NA, -4L), + class = c("tbl_df", "tbl", "data.frame") + ) observed <- obtainDesign( - p0 = 0.2, - p1 = 0.4, - alpha = 0.1, - beta = 0.1, - cores=2 - ) + p0 = 0.2, + p1 = 0.4, + alpha = 0.1, + beta = 0.1, + cores = 2 + ) expect_equal(observed, expected) }) diff --git a/tests/testthat/test-validation.R b/tests/testthat/test-validation.R index a51c410..293de38 100644 --- a/tests/testthat/test-validation.R +++ b/tests/testthat/test-validation.R @@ -5,31 +5,31 @@ test_that("createGrid returns appropriate error with bad input", { expect_error(createGrid(p0=-1, p1=0.4, alpha=0.1, beta=0.1, mander=FALSE)) expect_error(createGrid(p0=-1, p1=0.4, alpha=0.1, beta=NA, power=NA, mander=FALSE)) - expect_error(createGrid(p0=0.2, p1=NA, alpha=0.1, beta=0.1, mander=FALSE)) - expect_error(createGrid(p0=0.2, p1=NULL, alpha=0.1, beta=0.1, mander=FALSE)) - expect_error(createGrid(p0=0.2, p1=7, alpha=0.1, beta=0.1, mander=FALSE)) - expect_error(createGrid(p0=0.2, p1=-0.1, alpha=0.1, beta=0.1, mander=FALSE)) + expect_error(createGrid(p0 = 0.2, p1 = NA, alpha = 0.1, beta = 0.1, mander = FALSE)) + expect_error(createGrid(p0 = 0.2, p1 = NULL, alpha = 0.1, beta = 0.1, mander = FALSE)) + expect_error(createGrid(p0 = 0.2, p1 = 7, alpha = 0.1, beta = 0.1, mander = FALSE)) + expect_error(createGrid(p0 = 0.2, p1 = -0.1, alpha = 0.1, beta = 0.1, mander = FALSE)) - expect_error(createGrid(p0=0.2, p1=0.2, alpha=0.1, beta=0.1, mander=FALSE)) - expect_error(createGrid(p0=0.2, p1=0.1, alpha=0.1, beta=0.1, mander=FALSE)) + expect_error(createGrid(p0 = 0.2, p1 = 0.2, alpha = 0.1, beta = 0.1, mander = FALSE)) + expect_error(createGrid(p0 = 0.2, p1 = 0.1, alpha = 0.1, beta = 0.1, mander = FALSE)) - expect_error(createGrid(p0=0.2, p1=0.4, alpha=1, beta=0.1, mander=FALSE)) - expect_error(createGrid(p0=0.2, p1=0.4, alpha=0, beta=0.1, mander=FALSE)) - expect_error(createGrid(p0=0.2, p1=0.4, alpha=-1, beta=0.1, mander=FALSE)) + expect_error(createGrid(p0 = 0.2, p1 = 0.4, alpha = 1, beta = 0.1, mander = FALSE)) + expect_error(createGrid(p0 = 0.2, p1 = 0.4, alpha = 0, beta = 0.1, mander = FALSE)) + expect_error(createGrid(p0 = 0.2, p1 = 0.4, alpha = -1, beta = 0.1, mander = FALSE)) - expect_error(createGrid(p0=0.2, p1=0.4, alpha=0.1, beta=1, mander=FALSE)) - expect_error(createGrid(p0=0.2, p1=0.4, alpha=0.1, beta=0, mander=FALSE)) - expect_error(createGrid(p0=0.2, p1=0.4, alpha=0.1, beta=-1, mander=FALSE)) + expect_error(createGrid(p0 = 0.2, p1 = 0.4, alpha = 0.1, beta = 1, mander = FALSE)) + expect_error(createGrid(p0 = 0.2, p1 = 0.4, alpha = 0.1, beta = 0, mander = FALSE)) + expect_error(createGrid(p0 = 0.2, p1 = 0.4, alpha = 0.1, beta = -1, mander = FALSE)) - expect_error(createGrid(p0=0.2, p1=0.4, alpha=0.1, power=1, mander=FALSE)) - expect_error(createGrid(p0=0.2, p1=0.4, alpha=0.1, power=0, mander=FALSE)) - expect_error(createGrid(p0=0.2, p1=0.4, alpha=0.1, power=-1, mander=FALSE)) + expect_error(createGrid(p0 = 0.2, p1 = 0.4, alpha = 0.1, power = 1, mander = FALSE)) + expect_error(createGrid(p0 = 0.2, p1 = 0.4, alpha = 0.1, power = 0, mander = FALSE)) + expect_error(createGrid(p0 = 0.2, p1 = 0.4, alpha = 0.1, power = -1, mander = FALSE)) - expect_error(createGrid(p0=0.2, p1=0.4, alpha=0.1, beta=0.1, power=0.8, mander=FALSE)) + expect_error(createGrid(p0 = 0.2, p1 = 0.4, alpha = 0.1, beta = 0.1, power = 0.8, mander = FALSE)) - expect_error(createGrid(p0=0.2, p1=0.4, alpha=0.1, beta=NULL, power=NULL, mander=FALSE)) - expect_error(createGrid(p0=0.2, p1=0.4, alpha=0.1, beta=NA, power=NA, mander=FALSE)) - expect_error(createGrid(p0=0.2, p1=0.4, alpha=0.1, beta=NULL, power=NA, mander=FALSE)) + expect_error(createGrid(p0 = 0.2, p1 = 0.4, alpha = 0.1, beta = NULL, power = NULL, mander = FALSE)) + expect_error(createGrid(p0 = 0.2, p1 = 0.4, alpha = 0.1, beta = NA, power = NA, mander = FALSE)) + expect_error(createGrid(p0 = 0.2, p1 = 0.4, alpha = 0.1, beta = NULL, power = NA, mander = FALSE)) }) test_that("obtainDesign returns appropriate error with bad input", {