From 44514a886fdd4b815af9283c42934106635a8db9 Mon Sep 17 00:00:00 2001 From: pat-s Date: Wed, 9 Nov 2016 19:07:21 +0100 Subject: [PATCH 01/17] adapt add.oddsratio.into.plot to ggplot2 v2.2 --- R/add.oddsratio.into.plot.R | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/R/add.oddsratio.into.plot.R b/R/add.oddsratio.into.plot.R index 2a034372..47f38968 100644 --- a/R/add.oddsratio.into.plot.R +++ b/R/add.oddsratio.into.plot.R @@ -102,13 +102,13 @@ add.oddsratio.into.plot <- function( if (rect) { if (is.null(rect.col)) { - rect.col = text.col + rect.col <- text.col } #set drawing order to place rect behind smoothing fun plot.object$layers <- c(geom_rect(data = plot.object$data[1,], # avoids multiple rect drawings - ymin = ggplot_build(plot.object)$panel$ranges[[1]]$y.range[1], - ymax = ggplot_build(plot.object)$panel$ranges[[1]]$y.range[2], + ymin = ggplot_build(plot.object)$layout$panel_ranges[[1]]$y.range[1], + ymax = ggplot_build(plot.object)$layout$panel_ranges[[1]]$y.range[2], xmin = or.object$value1, xmax = or.object$value2, alpha = rect.alpha, fill = rect.col), From 3b2cf6439ccdea9a44217a3320baf7ba68b61a8b Mon Sep 17 00:00:00 2001 From: pat-s Date: Wed, 9 Nov 2016 19:07:54 +0100 Subject: [PATCH 02/17] write unit test for add.oddsratio.into.plot (-> ggplot_build) --- tests/testthat/test-add-oddsratio-into-plot.R | 22 +++++++++++++++++++ 1 file changed, 22 insertions(+) create mode 100644 tests/testthat/test-add-oddsratio-into-plot.R diff --git a/tests/testthat/test-add-oddsratio-into-plot.R b/tests/testthat/test-add-oddsratio-into-plot.R new file mode 100644 index 00000000..3af88743 --- /dev/null +++ b/tests/testthat/test-add-oddsratio-into-plot.R @@ -0,0 +1,22 @@ +context("add.oddsratio.into.plot") + +test_that("check bevhaviour of ggplot_build (changed in ggplot2 v2.2)", { + data("data.gam") + fit.gam <- gam(y ~ s(x0) + s(I(x1^2)) + s(x2) + offset(x3) + x4, data = data.gam) + + library(oddsratio) + plot.object <- pl.smooth.gam(fit.gam, pred = "x2", title = "Predictor 'x2'") + + # old way to do it (ggplot2 < v2.2) + # ymin = ggplot_build(plot.object)$panel$ranges[[1]]$y.range[1] + # ymax = ggplot_build(plot.object)$panel$ranges[[1]]$y.range[2] + + # new way to do it (ggplot2 > v2.2) + ymin = ggplot_build(plot.object)$layout$panel_ranges[[1]]$y.range[1] + ymax = ggplot_build(plot.object)$layout$panel_ranges[[1]]$y.range[2] + + expect_equal(class(ymin), "numeric") + expect_equal(class(ymax), "numeric") + expect_equal(length(ggplot_build(plot.object)$layout$panel_ranges[[1]]$y.range), 2) + +}) \ No newline at end of file From f663bce8cde8abcc7d82ca56dea069e1337f7250 Mon Sep 17 00:00:00 2001 From: pat-s Date: Wed, 9 Nov 2016 19:08:25 +0100 Subject: [PATCH 03/17] re-add export to helper.funs --- R/helper.funs.R | 2 ++ 1 file changed, 2 insertions(+) diff --git a/R/helper.funs.R b/R/helper.funs.R index 4967e7eb..83f6e656 100644 --- a/R/helper.funs.R +++ b/R/helper.funs.R @@ -30,6 +30,7 @@ #' #' tmp <- plot(fit.gam, pages = 1) # plot output #' tmp <- no.plot(fit.gam) # no plot output +#' @export no.plot <- function(model) { png("temp.xyz") @@ -68,6 +69,7 @@ no.plot <- function(model) { #' offset(x3) + x4, data = dat) # fit model #' #' tmp <- gam.to.df(fit.gam, "x2") +#' @export gam.to.df <- function(model, pred) { From 65813f175d91dcde76216c7d6a8d775fb683b484 Mon Sep 17 00:00:00 2001 From: pat-s Date: Wed, 9 Nov 2016 19:46:38 +0100 Subject: [PATCH 04/17] enable LazyData loading --- DESCRIPTION | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/DESCRIPTION b/DESCRIPTION index c17b1f7e..0e9ef04b 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -30,9 +30,11 @@ Suggests: knitr, gtable, scales, testthat -Collate: 'helper.funs.R' +Collate:'data.R' + 'helper.funs.R' 'pl.smooth.gam.R' 'calc.oddsratio.gam.R' 'calc.oddsratio.glm.R' 'add.oddsratio.into.plot.R' +LazyData: TRUE VignetteBuilder: knitr From 97788b0549a3e453ffa5b81442818e22ef068d23 Mon Sep 17 00:00:00 2001 From: pat-s Date: Wed, 9 Nov 2016 19:47:13 +0100 Subject: [PATCH 05/17] make data available without loading (LazyData) --- R/add.oddsratio.into.plot.R | 15 +++++---------- R/calc.oddsratio.gam.R | 15 +++++---------- R/calc.oddsratio.glm.R | 10 ++++------ R/data.R | 31 +++++++++++++++++++++++++++++++ 4 files changed, 45 insertions(+), 26 deletions(-) create mode 100644 R/data.R diff --git a/R/add.oddsratio.into.plot.R b/R/add.oddsratio.into.plot.R index 47f38968..c19a0b65 100644 --- a/R/add.oddsratio.into.plot.R +++ b/R/add.oddsratio.into.plot.R @@ -42,20 +42,15 @@ #' @author Patrick Schratz #' #' @examples -#' # load data (Source: ?mgcv::gam) -#' library(mgcv); library(cowplot) -#' set.seed(1234) -#' n <- 200 -#' sig <- 2 -#' dat <- gamSim(1, n = n, scale = sig, verbose = FALSE) -#' dat$x4 <- as.factor(c(rep("A", 50), rep("B", 50), rep("C", 50), rep("D", 50))) +#' # load data (Source: ?mgcv::gam) and fit model +#' library(mgcv) #' fit.gam <- gam(y ~ s(x0) + s(I(x1^2)) + s(x2) + -#' offset(x3) + x4, data = dat) # fit model +#' offset(x3) + x4, data = data.gam) # fit model #' #' # create input objects (plot + odds ratios) #' library(oddsratio) #' plot.object <- pl.smooth.gam(fit.gam, pred = "x2", title = "Predictor 'x2'") -#' or.object1 <- calc.oddsratio.gam(data = dat, model = fit.gam, pred = "x2", +#' or.object1 <- calc.oddsratio.gam(data = data.gam, model = fit.gam, pred = "x2", #' values = c(0.099, 0.198)) #' #' # insert first odds ratios to plot @@ -65,7 +60,7 @@ #' values.yloc = 0.5, arrow.col = "red") #' #' # calculate second odds ratio -#' or.object2 <- calc.oddsratio.gam(data = dat, model = fit.gam, pred = "x2", +#' or.object2 <- calc.oddsratio.gam(data = data.gam, model = fit.gam, pred = "x2", #' values = c(0.4, 0.6)) #' #' # add or.object2 into plot diff --git a/R/calc.oddsratio.gam.R b/R/calc.oddsratio.gam.R index e03d44f6..51a0fb17 100644 --- a/R/calc.oddsratio.gam.R +++ b/R/calc.oddsratio.gam.R @@ -50,26 +50,21 @@ #' @author Patrick Schratz #' #' @examples -#' # load data (Source: ?mgcv::gam) +#' # load data (Source: ?mgcv::gam) and fit model #' library(mgcv) -#' set.seed(1234) -#' n <- 200 -#' sig <- 2 -#' dat <- gamSim(1, n = n, scale = sig, verbose = FALSE) -#' dat$x4 <- as.factor(c(rep("A", 50), rep("B", 50), rep("C", 50), rep("D", 50))) #' fit.gam <- gam(y ~ s(x0) + s(I(x1^2)) + s(x2) + -#' offset(x3) + x4, data = dat) # fit model +#' offset(x3) + x4, data = data.gam) # fit model #' #' # Calculate OR for specific increment step of continuous variable -#' calc.oddsratio.gam(data = dat, model = fit.gam, pred = "x2", +#' calc.oddsratio.gam(data = data.gam, model = fit.gam, pred = "x2", #' values = c(0.099, 0.198)) #' #' ## Calculate OR for change of indicator variable -#' calc.oddsratio.gam(data = dat, model = fit.gam, pred = "x4", +#' calc.oddsratio.gam(data = data.gam, model = fit.gam, pred = "x4", #' values = c("B", "D")) #' #' ## Calculate ORs for percentage increments of predictor distribution (here: 20%) -#' calc.oddsratio.gam(data = dat, model = fit.gam, pred = "x2", +#' calc.oddsratio.gam(data = data.gam, model = fit.gam, pred = "x2", #' percentage = 20, slice = TRUE) #' #' @export diff --git a/R/calc.oddsratio.glm.R b/R/calc.oddsratio.glm.R index 9d5af0bf..6b951c41 100644 --- a/R/calc.oddsratio.glm.R +++ b/R/calc.oddsratio.glm.R @@ -30,16 +30,14 @@ #' #' @examples #' ## Example with stats::glm() -#' # load data (Data source: http://www.ats.ucla.edu/stat/r/dae/logit.htm) -#' dat <- read.csv("http://www.ats.ucla.edu/stat/data/binary.csv") -#' dat$rank <- factor(dat$rank) -#' fit.glm <- glm(admit ~ gre + gpa + rank, data = dat, family = "binomial") # fit model +#' # load data (source: http://www.ats.ucla.edu/stat/r/dae/logit.htm) and fit model +#' fit.glm <- glm(admit ~ gre + gpa + rank, data = data.glm, family = "binomial") # fit model #' #' # Calculate OR for specific increment step of continuous variable -#' calc.oddsratio.glm(data = dat, model = fit.glm, incr = list(gre = 380, gpa = 5)) +#' calc.oddsratio.glm(data = data.glm, model = fit.glm, incr = list(gre = 380, gpa = 5)) #' #' # Calculate OR and change the confidence interval level -#' calc.oddsratio.glm(data = dat, model = fit.glm, +#' calc.oddsratio.glm(data = data.glm, model = fit.glm, #' incr = list(gre = 380, gpa = 5), CI = .70) #' #' ## Example with MASS:glmmPQL() diff --git a/R/data.R b/R/data.R new file mode 100644 index 00000000..f97bebec --- /dev/null +++ b/R/data.R @@ -0,0 +1,31 @@ +#' data.gam +#' @name data.gam +#' +#' @usage data(data.gam) +#' +#' @keywords datasets +#' @keywords internal +#' +#' @source Taken from ?mgcv::gam and added variable "x4" +#' +#' @docType data +#' +#' @format a \code{data.frame} randomly created numerical and non-numerical variables +#' +"data.gam" + +#' data.glm +#' @name data.glm +#' +#' @usage data(data.glm) +#' +#' @docType data +#' +#' @keywords datasets +#' @keywords internal +#' +#' @format a \code{data.frame} randomly created numerical and non-numerical variables +#' +#' @source Taken from \url{http://www.ats.ucla.edu/stat/r/dae/logit.htm}, direct download +#' link: \url{http://www.ats.ucla.edu/stat/data/binary.csv} +"data.glm" \ No newline at end of file From 8e51cef46dc5a270eed0e65ceaa8eb8f019893e5 Mon Sep 17 00:00:00 2001 From: pat-s Date: Wed, 9 Nov 2016 19:47:41 +0100 Subject: [PATCH 06/17] same as previous commit --- R/pl.smooth.gam.R | 10 +++------- 1 file changed, 3 insertions(+), 7 deletions(-) diff --git a/R/pl.smooth.gam.R b/R/pl.smooth.gam.R index 39d935d7..26f2ed12 100644 --- a/R/pl.smooth.gam.R +++ b/R/pl.smooth.gam.R @@ -25,13 +25,9 @@ #' Values need to be given in a 'seq()' call, e.g. seq(-6,6,2). #' #' @examples -#' suppressPackageStartupMessages(library(mgcv)) -#' set.seed(1234) -#' n <- 200 -#' sig <- 2 -#' dat <- gamSim(1, n = n, scale = sig, verbose = FALSE) -#' dat$x4 <- as.factor(c(rep("A", 50), rep("B", 50), rep("C", 50), rep("D", 50))) -#' fit.gam <- mgcv::gam(y ~ s(x0) + s(I(x1^2)) + s(x2) + offset(x3) + x4, data = dat) +#' # load data (Source: ?mgcv::gam) and fit model +#' library(mgcv) +#' fit.gam <- mgcv::gam(y ~ s(x0) + s(I(x1^2)) + s(x2) + offset(x3) + x4, data = data.gam) #' #' library(oddsratio) #' pl.smooth.gam(fit.gam, pred = "x2", title = "Predictor 'x2'") From 1bb6538e3db71bc6e8170d65927bcccf878146b3 Mon Sep 17 00:00:00 2001 From: pat-s Date: Wed, 9 Nov 2016 19:47:58 +0100 Subject: [PATCH 07/17] update man/ --- man/add.oddsratio.into.plot.Rd | 15 +++++---------- man/calc.oddsratio.gam.Rd | 14 +++++--------- man/calc.oddsratio.glm.Rd | 10 ++++------ man/data.gam.Rd | 19 +++++++++++++++++++ man/data.glm.Rd | 20 ++++++++++++++++++++ man/pl.smooth.gam.Rd | 10 +++------- 6 files changed, 56 insertions(+), 32 deletions(-) create mode 100644 man/data.gam.Rd create mode 100644 man/data.glm.Rd diff --git a/man/add.oddsratio.into.plot.Rd b/man/add.oddsratio.into.plot.Rd index ba855ffd..3c674d58 100644 --- a/man/add.oddsratio.into.plot.Rd +++ b/man/add.oddsratio.into.plot.Rd @@ -59,20 +59,15 @@ Right now the function does only accept results of If you want to insert multiple odds ratio you have to do it iteratively. } \examples{ -# load data (Source: ?mgcv::gam) -library(mgcv); library(cowplot) -set.seed(1234) -n <- 200 -sig <- 2 -dat <- gamSim(1, n = n, scale = sig, verbose = FALSE) -dat$x4 <- as.factor(c(rep("A", 50), rep("B", 50), rep("C", 50), rep("D", 50))) +# load data (Source: ?mgcv::gam) and fit model +library(mgcv) fit.gam <- gam(y ~ s(x0) + s(I(x1^2)) + s(x2) + - offset(x3) + x4, data = dat) # fit model + offset(x3) + x4, data = data.gam) # fit model # create input objects (plot + odds ratios) library(oddsratio) plot.object <- pl.smooth.gam(fit.gam, pred = "x2", title = "Predictor 'x2'") -or.object1 <- calc.oddsratio.gam(data = dat, model = fit.gam, pred = "x2", +or.object1 <- calc.oddsratio.gam(data = data.gam, model = fit.gam, pred = "x2", values = c(0.099, 0.198)) # insert first odds ratios to plot @@ -82,7 +77,7 @@ plot.object <- add.oddsratio.into.plot(plot.object, or.object1, or.yloc = 3, values.yloc = 0.5, arrow.col = "red") # calculate second odds ratio -or.object2 <- calc.oddsratio.gam(data = dat, model = fit.gam, pred = "x2", +or.object2 <- calc.oddsratio.gam(data = data.gam, model = fit.gam, pred = "x2", values = c(0.4, 0.6)) # add or.object2 into plot diff --git a/man/calc.oddsratio.gam.Rd b/man/calc.oddsratio.gam.Rd index 6a3571d4..016f680c 100644 --- a/man/calc.oddsratio.gam.Rd +++ b/man/calc.oddsratio.gam.Rd @@ -60,25 +60,21 @@ For \code{\link[mgcv]{gamm}}, the \code{model} input of output (e.g. \code{fit.gam$gam}). } \examples{ -# load data (Source: ?mgcv::gam) +# load data (Source: ?mgcv::gam) and fit model library(mgcv) -n <- 200 -sig <- 2 -dat <- gamSim(1, n = n, scale = sig, verbose = FALSE) -dat$x4 <- as.factor(c(rep("A", 50), rep("B", 50), rep("C", 50), rep("D", 50))) fit.gam <- gam(y ~ s(x0) + s(I(x1^2)) + s(x2) + - offset(x3) + x4, data = dat) # fit model + offset(x3) + x4, data = data.gam) # fit model # Calculate OR for specific increment step of continuous variable -calc.oddsratio.gam(data = dat, model = fit.gam, pred = "x2", +calc.oddsratio.gam(data = data.gam, model = fit.gam, pred = "x2", values = c(0.099, 0.198)) ## Calculate OR for change of indicator variable -calc.oddsratio.gam(data = dat, model = fit.gam, pred = "x4", +calc.oddsratio.gam(data = data.gam, model = fit.gam, pred = "x4", values = c("B", "D")) ## Calculate ORs for percentage increments of predictor distribution (here: 20\%) -calc.oddsratio.gam(data = dat, model = fit.gam, pred = "x2", +calc.oddsratio.gam(data = data.gam, model = fit.gam, pred = "x2", percentage = 20, slice = TRUE) } diff --git a/man/calc.oddsratio.glm.Rd b/man/calc.oddsratio.glm.Rd index cd4340b6..eae2940f 100644 --- a/man/calc.oddsratio.glm.Rd +++ b/man/calc.oddsratio.glm.Rd @@ -38,16 +38,14 @@ Currently supported functions: \code{\link[stats]{glm}}, } \examples{ ## Example with stats::glm() -# load data (Data source: http://www.ats.ucla.edu/stat/r/dae/logit.htm) -dat <- read.csv("http://www.ats.ucla.edu/stat/data/binary.csv") -dat$rank <- factor(dat$rank) -fit.glm <- glm(admit ~ gre + gpa + rank, data = dat, family = "binomial") # fit model +# load data (source: http://www.ats.ucla.edu/stat/r/dae/logit.htm) and fit model +fit.glm <- glm(admit ~ gre + gpa + rank, data = data.glm, family = "binomial") # fit model # Calculate OR for specific increment step of continuous variable -calc.oddsratio.glm(data = dat, model = fit.glm, incr = list(gre = 380, gpa = 5)) +calc.oddsratio.glm(data = data.glm, model = fit.glm, incr = list(gre = 380, gpa = 5)) # Calculate OR and change the confidence interval level -calc.oddsratio.glm(data = dat, model = fit.glm, +calc.oddsratio.glm(data = data.glm, model = fit.glm, incr = list(gre = 380, gpa = 5), CI = .70) ## Example with MASS:glmmPQL() diff --git a/man/data.gam.Rd b/man/data.gam.Rd new file mode 100644 index 00000000..e88587a8 --- /dev/null +++ b/man/data.gam.Rd @@ -0,0 +1,19 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/data.R +\docType{data} +\name{data.gam} +\alias{data.gam} +\title{data.gam} +\format{a \code{data.frame} randomly created numerical and non-numerical variables} +\source{ +Taken from ?mgcv::gam and added variable "x4" +} +\usage{ +data(data.gam) +} +\description{ +data.gam +} +\keyword{datasets} +\keyword{internal} + diff --git a/man/data.glm.Rd b/man/data.glm.Rd new file mode 100644 index 00000000..08294aaf --- /dev/null +++ b/man/data.glm.Rd @@ -0,0 +1,20 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/data.R +\docType{data} +\name{data.glm} +\alias{data.glm} +\title{data.glm} +\format{a \code{data.frame} randomly created numerical and non-numerical variables} +\source{ +Taken from \url{http://www.ats.ucla.edu/stat/r/dae/logit.htm}, direct download +link: \url{http://www.ats.ucla.edu/stat/data/binary.csv} +} +\usage{ +data(data.glm) +} +\description{ +data.glm +} +\keyword{datasets} +\keyword{internal} + diff --git a/man/pl.smooth.gam.Rd b/man/pl.smooth.gam.Rd index 1f3cc815..af424b83 100644 --- a/man/pl.smooth.gam.Rd +++ b/man/pl.smooth.gam.Rd @@ -42,13 +42,9 @@ This function plots the smoothing function of selected GAM(M) models using the \code{ggplot2} plotting system. } \examples{ -suppressPackageStartupMessages(library(mgcv)) -set.seed(1234) -n <- 200 -sig <- 2 -dat <- gamSim(1, n = n, scale = sig, verbose = FALSE) -dat$x4 <- as.factor(c(rep("A", 50), rep("B", 50), rep("C", 50), rep("D", 50))) -fit.gam <- mgcv::gam(y ~ s(x0) + s(I(x1^2)) + s(x2) + offset(x3) + x4, data = dat) +# load data (Source: ?mgcv::gam) and fit model +library(mgcv) +fit.gam <- mgcv::gam(y ~ s(x0) + s(I(x1^2)) + s(x2) + offset(x3) + x4, data = data.gam) library(oddsratio) pl.smooth.gam(fit.gam, pred = "x2", title = "Predictor 'x2'") From 8289d3d1f3ba3b709035ac3dde43c971816c6084 Mon Sep 17 00:00:00 2001 From: pat-s Date: Wed, 9 Nov 2016 19:51:51 +0100 Subject: [PATCH 08/17] update NEWS --- NEWS | 7 +++++++ NEWS.md | 5 +++++ 2 files changed, 12 insertions(+) diff --git a/NEWS b/NEWS index edd176f2..8d2800e7 100644 --- a/NEWS +++ b/NEWS @@ -1,3 +1,10 @@ +oddsratio 0.3.1 (Nov 9 2016) +-------------------------------------------------------------------------------- + +* update functions to work with ggplot2 v2.2 +* enable lazy loading of data in examples + + oddsratio 0.3.0 (Oct 27 2016) -------------------------------------------------------------------------------- diff --git a/NEWS.md b/NEWS.md index 13e81b77..ee164d1c 100644 --- a/NEWS.md +++ b/NEWS.md @@ -1,3 +1,8 @@ +# oddsratio 0.3.1 (Nov 9 2016) + +* update functions to work with ggplot2 v2.2 +* enable lazy loading of data in examples + # oddsratio 0.3.0 (Oct 27 2016) #### New functions From 2441e4b25c6694d6d77c1820b48387b3b1efdee5 Mon Sep 17 00:00:00 2001 From: pat-s Date: Wed, 9 Nov 2016 19:54:07 +0100 Subject: [PATCH 09/17] update README --- README.md | 2 +- .../unnamed-chunk-6-1.png | Bin 46805 -> 46736 bytes .../unnamed-chunk-7-1.png | Bin 54050 -> 54069 bytes .../unnamed-chunk-8-1.png | Bin 60436 -> 60465 bytes 4 files changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 54b966fd..584cc557 100644 --- a/README.md +++ b/README.md @@ -1,7 +1,7 @@ #### General -[![Build Status](https://travis-ci.org/pat-s/oddsratio.svg?branch=master)](https://travis-ci.org/pat-s/oddsratio) [![AppVeyor Build Status](https://ci.appveyor.com/api/projects/status/github/pat-s/oddsratio?branch=master&svg=true)](https://ci.appveyor.com/project/pat-s/oddsratio) [![Project Status: Active – The project has reached a stable, usable state and is being actively developed.](http://www.repostatus.org/badges/latest/active.svg)](http://www.repostatus.org/#active) [![codecov](https://codecov.io/gh/pat-s/oddsratio/branch/master/graph/badge.svg)](https://codecov.io/gh/pat-s/oddsratio) [![minimal R version](https://img.shields.io/badge/R%3E%3D-3.0.0-6666ff.svg)](https://cran.r-project.org/) [![Last-changedate](https://img.shields.io/badge/last%20change-2016--10--31-yellowgreen.svg)](/commits/master) +[![Build Status](https://travis-ci.org/pat-s/oddsratio.svg?branch=master)](https://travis-ci.org/pat-s/oddsratio) [![AppVeyor Build Status](https://ci.appveyor.com/api/projects/status/github/pat-s/oddsratio?branch=master&svg=true)](https://ci.appveyor.com/project/pat-s/oddsratio) [![Project Status: Active – The project has reached a stable, usable state and is being actively developed.](http://www.repostatus.org/badges/latest/active.svg)](http://www.repostatus.org/#active) [![codecov](https://codecov.io/gh/pat-s/oddsratio/branch/master/graph/badge.svg)](https://codecov.io/gh/pat-s/oddsratio) [![minimal R version](https://img.shields.io/badge/R%3E%3D-3.0.0-6666ff.svg)](https://cran.r-project.org/) [![Last-changedate](https://img.shields.io/badge/last%20change-2016--11--09-yellowgreen.svg)](/commits/master) #### CRAN diff --git a/README_files/figure-markdown_github/unnamed-chunk-6-1.png b/README_files/figure-markdown_github/unnamed-chunk-6-1.png index 42cbb3e6d74ea2d6dab8f7253de2e5c47c0eb9df..840be4d85838192af906dcbdab7ad9182a4fd43f 100644 GIT binary patch literal 46736 zcmZs@1yogA8#N3FQqmxTlysw{gmib8gi5z`H%NC0NH@~mArjKvCEY1q|2kK__x=9w z8{>?j!*R~uYwz{MeCC|XAbD9a6eN5kC@3ft32|XXC@7e8C@AP7O4Ae*Q7|nx*kBLrz5A?bS{)_V?CWFB0lAv^m}?rZ^;u*>MtT-l|Jq z`K^%L-9&DdM3aW{MS}yk)0D$h*MoYaL%6N_LiPA4Z0M&+B@DRCE4BdWR+T}Wm zm~Tgu=={T0?JNH8OfGdl^`<&(c|F2R4AIhm8!uQl!w~oRW*g55S5@Lbd&{@j`<@bU8Dq8&jUZ1BG__yIj zPsa?7zxr$GVexs;bHMOX;*ns^_zvkXOPohpGeeU)2lL3B#}HIt=^tKCOPY)5@Ni7t zHHES$<|d0Qa8@;@zk6VzmDW<4DxycN`9#)7a|5T{eA}g4uC-0ip-{7em(rj%c%^%_ zd&_)IcWaux?760PTx-*<+22?p-LYq`ZtJLmZ}E8b>Cs4HXHX~MsrB)i8k(p_{Ex)V 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-19,7 +19,7 @@ Depends: R (>= 3.0.0) Imports: mgcv, MASS, stats, - ggplot2, + ggplot2 (>= 2.2.0), cowplot License: MIT + file LICENSE RoxygenNote: 5.0.1 @@ -29,12 +29,14 @@ Suggests: knitr, grid, gtable, scales, - testthat -Collate:'data.R' + testthat, + packagedocs +Collate: 'data.R' 'helper.funs.R' 'pl.smooth.gam.R' 'calc.oddsratio.gam.R' 'calc.oddsratio.glm.R' 'add.oddsratio.into.plot.R' LazyData: TRUE -VignetteBuilder: knitr +VignetteBuilder: knitr, + packagedocs From 7c7db59c0f010db3e92a061d0197a79c8d968fa0 Mon Sep 17 00:00:00 2001 From: pat-s Date: Sat, 12 Nov 2016 22:14:12 +0100 Subject: [PATCH 11/17] update vignettes --- vignettes/function.tutorial.Rmd | 34 +++++++++++++-------------------- 1 file changed, 13 insertions(+), 21 deletions(-) diff --git a/vignettes/function.tutorial.Rmd b/vignettes/function.tutorial.Rmd index edf33b5c..b4376e95 100644 --- a/vignettes/function.tutorial.Rmd +++ b/vignettes/function.tutorial.Rmd @@ -25,20 +25,14 @@ library(ggplot2) library(cowplot) ``` -## Load example data +## Load example data & fit model Data source: `?mgcv::predict.gam` ```{r, results='hide'} library(oddsratio) -suppressPackageStartupMessages(library(mgcv)) -set.seed(1234) -n <- 200 -sig <- 2 -dat <- suppressMessages(gamSim(1, n = n, scale = sig)) -dat$x4 <- as.factor(c(rep("A", 50), rep("B", 50), rep("C", 50), rep("D", 50))) - -fit.gam <- mgcv::gam(y ~ s(x0) + s(I(x1^2)) + s(x2) + offset(x3) + x4, data = dat) + +fit.gam <- mgcv::gam(y ~ s(x0) + s(I(x1^2)) + s(x2) + offset(x3) + x4, data = data.gam) ``` ## GAM example @@ -52,7 +46,7 @@ from 0.099 to 0.198 while holding all other predictors constant. ```{r} -calc.oddsratio.gam(data = dat, model = fit.gam, pred = "x2", +calc.oddsratio.gam(data = data.gam, model = fit.gam, pred = "x2", values = c(0.099, 0.198)) ``` @@ -62,10 +56,10 @@ These actions results in two log odds values, respectively, which are transforme ### Calculate OR for level change of indicator variable -If the predictor is a indicator variable, i.e. consists of fixed levels, you can use the function in the same way by just putting in the respective levels you are interested in: +If the predictor is an indicator variable, i.e. consists of fixed levels, you can use the function in the same way by just putting in the respective levels you are interested in: ```{r} -calc.oddsratio.gam(data = dat, model = fit.gam, +calc.oddsratio.gam(data = data.gam, model = fit.gam, pred = "x4", values = c("A", "B")) ``` @@ -78,7 +72,7 @@ Here we slice predictor `x2` into 5 parts by taking the predictor values of ever ```{r} -calc.oddsratio.gam(data = dat, model = fit.gam, pred = "x2", +calc.oddsratio.gam(data = data.gam, model = fit.gam, pred = "x2", percentage = 20, slice = TRUE) ``` @@ -106,7 +100,7 @@ the respective values we want to insert. ```{r} plot.object <- pl.smooth.gam(fit.gam, pred = "x2", title = "Predictor 'x2'") -or.object <- calc.oddsratio.gam(data = dat, model = fit.gam, +or.object <- calc.oddsratio.gam(data = data.gam, model = fit.gam, pred = "x2", values = c(0.099, 0.198)) plot <- add.oddsratio.into.plot(plot.object, or.object, or.yloc = 3, @@ -127,7 +121,7 @@ take the already produced plot as an input to `add.oddsratio.into.plot()` and us object: ```{r} -or.object2 <- calc.oddsratio.gam(data = dat, model = fit.gam, +or.object2 <- calc.oddsratio.gam(data = data.gam, model = fit.gam, pred = "x2", values = c(0.4, 0.6)) add.oddsratio.into.plot(plot, or.object2, or.yloc = 2.1, values.yloc = 2, @@ -143,13 +137,11 @@ Aesthetics like opacity or color are fully customizable. ## GLM example -Create example data. +Fit model. Data source: http://www.ats.ucla.edu/stat/r/dae/logit.htm ```{r} -dat <- read.csv("http://www.ats.ucla.edu/stat/data/binary.csv") -dat$rank <- factor(dat$rank) -fit.glm <- glm(admit ~ gre + gpa + rank, data = dat, family = "binomial") +fit.glm <- glm(admit ~ gre + gpa + rank, data = data.glm, family = "binomial") ``` ### Calculate odds ratio for continuous predictors @@ -167,14 +159,14 @@ Indicator predictor `rank` has four levels. Subsequently, we will get three odds The output is interpreted as follows: "Having `rank2` instead of `rank1` while holding all other values constant results in a decrease in odds of 49.1% (1-0.509)". ```{r} -calc.oddsratio.glm(data = dat, model = fit.glm, incr = list(gre = 380, gpa = 5)) +calc.oddsratio.glm(data = data.glm, model = fit.glm, incr = list(gre = 380, gpa = 5)) ``` You can also set other confident intervals for GLM(M) models. The resulting data frame will automatically adjust its column names to the specified level. ```{r} -calc.oddsratio.glm(data = dat, model = fit.glm, +calc.oddsratio.glm(data = data.glm, model = fit.glm, incr = list(gre = 380, gpa = 5), CI = 0.70) ``` From 348d33caf8c6146382c7fd3034c1cc6c34d47d01 Mon Sep 17 00:00:00 2001 From: pat-s Date: Sat, 12 Nov 2016 22:15:05 +0100 Subject: [PATCH 12/17] update README --- README.Rmd | 1 - README.md | 4 ++-- 2 files changed, 2 insertions(+), 3 deletions(-) diff --git a/README.Rmd b/README.Rmd index 4ce47968..82a1a8ea 100644 --- a/README.Rmd +++ b/README.Rmd @@ -30,7 +30,6 @@ rvers <- stringr::str_match(grep("R \\(", description, value = TRUE), "[0-9]{1,4 [![CRAN_Status_Badge](http://www.r-pkg.org/badges/version/oddsratio)](http://cran.r-project.org/package=oddsratio) [![Downloads](http://cranlogs.r-pkg.org/badges/oddsratio?color=brightgreen)](http://www.r-pkg.org/pkg/oddsratio) ![](http://cranlogs.r-pkg.org/badges/grand-total/oddsratio) -[![Rdoc](http://www.rdocumentation.org/badges/version/oddsratio)](http://www.rdocumentation.org/packages/oddsratio) #### Github [![packageversion](https://img.shields.io/badge/Package%20version-`r version`-orange.svg?style=flat-square)](commits/master) diff --git a/README.md b/README.md index 584cc557..61408e65 100644 --- a/README.md +++ b/README.md @@ -1,11 +1,11 @@ #### General -[![Build Status](https://travis-ci.org/pat-s/oddsratio.svg?branch=master)](https://travis-ci.org/pat-s/oddsratio) [![AppVeyor Build Status](https://ci.appveyor.com/api/projects/status/github/pat-s/oddsratio?branch=master&svg=true)](https://ci.appveyor.com/project/pat-s/oddsratio) [![Project Status: Active – The project has reached a stable, usable state and is being actively developed.](http://www.repostatus.org/badges/latest/active.svg)](http://www.repostatus.org/#active) [![codecov](https://codecov.io/gh/pat-s/oddsratio/branch/master/graph/badge.svg)](https://codecov.io/gh/pat-s/oddsratio) [![minimal R version](https://img.shields.io/badge/R%3E%3D-3.0.0-6666ff.svg)](https://cran.r-project.org/) [![Last-changedate](https://img.shields.io/badge/last%20change-2016--11--09-yellowgreen.svg)](/commits/master) +[![Build Status](https://travis-ci.org/pat-s/oddsratio.svg?branch=master)](https://travis-ci.org/pat-s/oddsratio) [![AppVeyor Build Status](https://ci.appveyor.com/api/projects/status/github/pat-s/oddsratio?branch=master&svg=true)](https://ci.appveyor.com/project/pat-s/oddsratio) [![Project Status: Active – The project has reached a stable, usable state and is being actively developed.](http://www.repostatus.org/badges/latest/active.svg)](http://www.repostatus.org/#active) [![codecov](https://codecov.io/gh/pat-s/oddsratio/branch/master/graph/badge.svg)](https://codecov.io/gh/pat-s/oddsratio) [![minimal R version](https://img.shields.io/badge/R%3E%3D-3.0.0-6666ff.svg)](https://cran.r-project.org/) [![Last-changedate](https://img.shields.io/badge/last%20change-2016--11--12-yellowgreen.svg)](/commits/master) #### CRAN -[![CRAN\_Status\_Badge](http://www.r-pkg.org/badges/version/oddsratio)](http://cran.r-project.org/package=oddsratio) [![Downloads](http://cranlogs.r-pkg.org/badges/oddsratio?color=brightgreen)](http://www.r-pkg.org/pkg/oddsratio) ![](http://cranlogs.r-pkg.org/badges/grand-total/oddsratio) [![Rdoc](http://www.rdocumentation.org/badges/version/oddsratio)](http://www.rdocumentation.org/packages/oddsratio) +[![CRAN\_Status\_Badge](http://www.r-pkg.org/badges/version/oddsratio)](http://cran.r-project.org/package=oddsratio) [![Downloads](http://cranlogs.r-pkg.org/badges/oddsratio?color=brightgreen)](http://www.r-pkg.org/pkg/oddsratio) ![](http://cranlogs.r-pkg.org/badges/grand-total/oddsratio) #### Github From fedf61d30014223d692518f97dd3850950ccddce Mon Sep 17 00:00:00 2001 From: pat-s Date: Sat, 12 Nov 2016 22:15:20 +0100 Subject: [PATCH 13/17] update .ignore --- .Rbuildignore | 1 + .gitignore | 2 ++ 2 files changed, 3 insertions(+) diff --git a/.Rbuildignore b/.Rbuildignore index eaf1f6cd..a48713d2 100644 --- a/.Rbuildignore +++ b/.Rbuildignore @@ -9,3 +9,4 @@ README_files .travis.yml ^cran-comments\.md$ ^appveyor\.yml$ +^_gh-pages$ diff --git a/.gitignore b/.gitignore index 7e8258bb..114d5c97 100644 --- a/.gitignore +++ b/.gitignore @@ -5,3 +5,5 @@ oddsratio.Rproj README.knit.md README.utf8.md +inst/doc +_gh-pages From c5bf08f226a82ff89fb18225860423711aeb9cdc Mon Sep 17 00:00:00 2001 From: pat-s Date: Sat, 12 Nov 2016 22:43:16 +0100 Subject: [PATCH 14/17] update NEWS --- NEWS | 2 +- NEWS.md | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/NEWS b/NEWS index 8d2800e7..50f89c55 100644 --- a/NEWS +++ b/NEWS @@ -2,7 +2,7 @@ oddsratio 0.3.1 (Nov 9 2016) -------------------------------------------------------------------------------- * update functions to work with ggplot2 v2.2 -* enable lazy loading of data in examples +* add data and enable lazy loading in examples oddsratio 0.3.0 (Oct 27 2016) diff --git a/NEWS.md b/NEWS.md index ee164d1c..ecd7d2fd 100644 --- a/NEWS.md +++ b/NEWS.md @@ -1,7 +1,7 @@ # oddsratio 0.3.1 (Nov 9 2016) * update functions to work with ggplot2 v2.2 -* enable lazy loading of data in examples +* add data and enable lazy loading in examples # oddsratio 0.3.0 (Oct 27 2016) From ddce8827504d3932036bbdc786e3837cd5f45cf1 Mon Sep 17 00:00:00 2001 From: pat-s Date: Sat, 12 Nov 2016 22:43:27 +0100 Subject: [PATCH 15/17] update CRAN-comments --- cran-comments.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/cran-comments.md b/cran-comments.md index 1062ef63..164b152c 100644 --- a/cran-comments.md +++ b/cran-comments.md @@ -1,6 +1,6 @@ ## Test environments -* local macOS install, R 3.3.1 -* ubuntu 12.04 (on travis-ci), R 3.3.1 +* local macOS install, R 3.3.2 +* ubuntu 12.04 (on travis-ci), R 3.3.2 * win-builder (devel and release) ## R CMD check results From cd372eb43b9d43f67cf82f22ab7a47dce9273f71 Mon Sep 17 00:00:00 2001 From: pat-s Date: Sat, 12 Nov 2016 22:44:28 +0100 Subject: [PATCH 16/17] update inst/doc --- inst/doc/function.tutorial.R | 26 +++++++++----------------- inst/doc/function.tutorial.Rmd | 34 +++++++++++++--------------------- 2 files changed, 22 insertions(+), 38 deletions(-) diff --git a/inst/doc/function.tutorial.R b/inst/doc/function.tutorial.R index 6d68189c..471d8ea2 100644 --- a/inst/doc/function.tutorial.R +++ b/inst/doc/function.tutorial.R @@ -12,25 +12,19 @@ library(cowplot) ## ---- results='hide'----------------------------------------------------- library(oddsratio) -suppressPackageStartupMessages(library(mgcv)) -set.seed(1234) -n <- 200 -sig <- 2 -dat <- suppressMessages(gamSim(1, n = n, scale = sig)) -dat$x4 <- as.factor(c(rep("A", 50), rep("B", 50), rep("C", 50), rep("D", 50))) -fit.gam <- mgcv::gam(y ~ s(x0) + s(I(x1^2)) + s(x2) + offset(x3) + x4, data = dat) +fit.gam <- mgcv::gam(y ~ s(x0) + s(I(x1^2)) + s(x2) + offset(x3) + x4, data = data.gam) ## ------------------------------------------------------------------------ -calc.oddsratio.gam(data = dat, model = fit.gam, pred = "x2", +calc.oddsratio.gam(data = data.gam, model = fit.gam, pred = "x2", values = c(0.099, 0.198)) ## ------------------------------------------------------------------------ -calc.oddsratio.gam(data = dat, model = fit.gam, +calc.oddsratio.gam(data = data.gam, model = fit.gam, pred = "x4", values = c("A", "B")) ## ------------------------------------------------------------------------ -calc.oddsratio.gam(data = dat, model = fit.gam, pred = "x2", +calc.oddsratio.gam(data = data.gam, model = fit.gam, pred = "x2", percentage = 20, slice = TRUE) ## ------------------------------------------------------------------------ @@ -38,7 +32,7 @@ pl.smooth.gam(fit.gam, pred = "x2", title = "Predictor 'x2'") ## ------------------------------------------------------------------------ plot.object <- pl.smooth.gam(fit.gam, pred = "x2", title = "Predictor 'x2'") -or.object <- calc.oddsratio.gam(data = dat, model = fit.gam, +or.object <- calc.oddsratio.gam(data = data.gam, model = fit.gam, pred = "x2", values = c(0.099, 0.198)) plot <- add.oddsratio.into.plot(plot.object, or.object, or.yloc = 3, @@ -47,7 +41,7 @@ plot <- add.oddsratio.into.plot(plot.object, or.object, or.yloc = 3, plot ## ------------------------------------------------------------------------ -or.object2 <- calc.oddsratio.gam(data = dat, model = fit.gam, +or.object2 <- calc.oddsratio.gam(data = data.gam, model = fit.gam, pred = "x2", values = c(0.4, 0.6)) add.oddsratio.into.plot(plot, or.object2, or.yloc = 2.1, values.yloc = 2, @@ -58,14 +52,12 @@ add.oddsratio.into.plot(plot, or.object2, or.yloc = 2.1, values.yloc = 2, arrow.length = 0.02, rect = TRUE) ## ------------------------------------------------------------------------ -dat <- read.csv("http://www.ats.ucla.edu/stat/data/binary.csv") -dat$rank <- factor(dat$rank) -fit.glm <- glm(admit ~ gre + gpa + rank, data = dat, family = "binomial") +fit.glm <- glm(admit ~ gre + gpa + rank, data = data.glm, family = "binomial") ## ------------------------------------------------------------------------ -calc.oddsratio.glm(data = dat, model = fit.glm, incr = list(gre = 380, gpa = 5)) +calc.oddsratio.glm(data = data.glm, model = fit.glm, incr = list(gre = 380, gpa = 5)) ## ------------------------------------------------------------------------ -calc.oddsratio.glm(data = dat, model = fit.glm, +calc.oddsratio.glm(data = data.glm, model = fit.glm, incr = list(gre = 380, gpa = 5), CI = 0.70) diff --git a/inst/doc/function.tutorial.Rmd b/inst/doc/function.tutorial.Rmd index edf33b5c..b4376e95 100644 --- a/inst/doc/function.tutorial.Rmd +++ b/inst/doc/function.tutorial.Rmd @@ -25,20 +25,14 @@ library(ggplot2) library(cowplot) ``` -## Load example data +## Load example data & fit model Data source: `?mgcv::predict.gam` ```{r, results='hide'} library(oddsratio) -suppressPackageStartupMessages(library(mgcv)) -set.seed(1234) -n <- 200 -sig <- 2 -dat <- suppressMessages(gamSim(1, n = n, scale = sig)) -dat$x4 <- as.factor(c(rep("A", 50), rep("B", 50), rep("C", 50), rep("D", 50))) - -fit.gam <- mgcv::gam(y ~ s(x0) + s(I(x1^2)) + s(x2) + offset(x3) + x4, data = dat) + +fit.gam <- mgcv::gam(y ~ s(x0) + s(I(x1^2)) + s(x2) + offset(x3) + x4, data = data.gam) ``` ## GAM example @@ -52,7 +46,7 @@ from 0.099 to 0.198 while holding all other predictors constant. ```{r} -calc.oddsratio.gam(data = dat, model = fit.gam, pred = "x2", +calc.oddsratio.gam(data = data.gam, model = fit.gam, pred = "x2", values = c(0.099, 0.198)) ``` @@ -62,10 +56,10 @@ These actions results in two log odds values, respectively, which are transforme ### Calculate OR for level change of indicator variable -If the predictor is a indicator variable, i.e. consists of fixed levels, you can use the function in the same way by just putting in the respective levels you are interested in: +If the predictor is an indicator variable, i.e. consists of fixed levels, you can use the function in the same way by just putting in the respective levels you are interested in: ```{r} -calc.oddsratio.gam(data = dat, model = fit.gam, +calc.oddsratio.gam(data = data.gam, model = fit.gam, pred = "x4", values = c("A", "B")) ``` @@ -78,7 +72,7 @@ Here we slice predictor `x2` into 5 parts by taking the predictor values of ever ```{r} -calc.oddsratio.gam(data = dat, model = fit.gam, pred = "x2", +calc.oddsratio.gam(data = data.gam, model = fit.gam, pred = "x2", percentage = 20, slice = TRUE) ``` @@ -106,7 +100,7 @@ the respective values we want to insert. ```{r} plot.object <- pl.smooth.gam(fit.gam, pred = "x2", title = "Predictor 'x2'") -or.object <- calc.oddsratio.gam(data = dat, model = fit.gam, +or.object <- calc.oddsratio.gam(data = data.gam, model = fit.gam, pred = "x2", values = c(0.099, 0.198)) plot <- add.oddsratio.into.plot(plot.object, or.object, or.yloc = 3, @@ -127,7 +121,7 @@ take the already produced plot as an input to `add.oddsratio.into.plot()` and us object: ```{r} -or.object2 <- calc.oddsratio.gam(data = dat, model = fit.gam, +or.object2 <- calc.oddsratio.gam(data = data.gam, model = fit.gam, pred = "x2", values = c(0.4, 0.6)) add.oddsratio.into.plot(plot, or.object2, or.yloc = 2.1, values.yloc = 2, @@ -143,13 +137,11 @@ Aesthetics like opacity or color are fully customizable. ## GLM example -Create example data. +Fit model. Data source: http://www.ats.ucla.edu/stat/r/dae/logit.htm ```{r} -dat <- read.csv("http://www.ats.ucla.edu/stat/data/binary.csv") -dat$rank <- factor(dat$rank) -fit.glm <- glm(admit ~ gre + gpa + rank, data = dat, family = "binomial") +fit.glm <- glm(admit ~ gre + gpa + rank, data = data.glm, family = "binomial") ``` ### Calculate odds ratio for continuous predictors @@ -167,14 +159,14 @@ Indicator predictor `rank` has four levels. Subsequently, we will get three odds The output is interpreted as follows: "Having `rank2` instead of `rank1` while holding all other values constant results in a decrease in odds of 49.1% (1-0.509)". ```{r} -calc.oddsratio.glm(data = dat, model = fit.glm, incr = list(gre = 380, gpa = 5)) +calc.oddsratio.glm(data = data.glm, model = fit.glm, incr = list(gre = 380, gpa = 5)) ``` You can also set other confident intervals for GLM(M) models. The resulting data frame will automatically adjust its column names to the specified level. ```{r} -calc.oddsratio.glm(data = dat, model = fit.glm, +calc.oddsratio.glm(data = data.glm, model = fit.glm, incr = list(gre = 380, gpa = 5), CI = 0.70) ``` From f532a217fb32aba77983d38ce8c7c86c6556ed87 Mon Sep 17 00:00:00 2001 From: pat-s Date: Sat, 12 Nov 2016 22:49:26 +0100 Subject: [PATCH 17/17] update DESCRIPTION --- DESCRIPTION | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/DESCRIPTION b/DESCRIPTION index 533900c0..9f71bd7b 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,5 +1,5 @@ Package: oddsratio -Version: 0.3.0.9000 +Version: 0.3.1 Title: Odds Ratio Calculation for GAM(M)s & GLM(M)s Author: Patrick Schratz Maintainer: Patrick Schratz