diff --git a/.Rbuildignore b/.Rbuildignore
index a7039c4..247796a 100644
--- a/.Rbuildignore
+++ b/.Rbuildignore
@@ -1,4 +1,4 @@
-^revdepcheck$
+^revdep$
 ^cran-comments\.md$
 ^vignettes$
 ^\.buildignore$
diff --git a/DESCRIPTION b/DESCRIPTION
index 76dad86..7a843d5 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,6 +1,6 @@
 Package: fgeo.analyze
 Title: Analyze ForestGEO Data
-Version: 1.0.3.9000
+Version: 1.1.0
 Authors@R: 
     c(person(given = "Mauro",
              family = "Lepore",
@@ -53,9 +53,9 @@ BugReports: https://github.com/forestgeo/fgeo.analyze/issues
 Depends: 
     R (>= 3.2)
 Imports: 
-    fgeo.x,
-    fgeo.tool,
     dplyr,
+    fgeo.tool,
+    fgeo.x,
     glue,
     graphics,
     grDevices,
@@ -77,9 +77,7 @@ Suggests:
     rmarkdown,
     spelling,
     testthat
-Remotes: 
-    forestgeo/fgeo.x,
-    forestgeo/fgeo.tool
+Additional_repositories: https://forestgeo.github.io/drat/
 Encoding: UTF-8
 Language: en-US
 LazyData: true
diff --git a/NEWS.md b/NEWS.md
index 271d851..2bda116 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -2,7 +2,13 @@
 
 * Work in progress.
 
-# fgeo.analyze 1.0.3 (GitHub release)
+# fgeo.analyze 1.1.0 (GitHub release)
+
+* Import fgeo packages via `Additional_repositories` served at <https://forestgeo.github.io/drat/>
+
+* First argument of most visible functions now follow tidyverse principles (<http://bit.ly/2TfDcfX>).
+
+# fgeo.analyze 1.0.3 (GitHub and drat release)
 
 * Released version now uses released versions recursively via @*release.
 
diff --git a/R/abundance.R b/R/abundance.R
index d334804..9af82ae 100644
--- a/R/abundance.R
+++ b/R/abundance.R
@@ -18,55 +18,54 @@
 #' Subsetting data is not the job of these functions. Instead see
 #' [base::subset()], [dplyr::filter()], or `[`.
 #'
-#' @param x A dataframe. [basal_area()] requires a column named `dbh` (case
+#' @param data A dataframe. [basal_area()] requires a column named `dbh` (case
 #'   insensitive).
 #'
 #' @seealso [dplyr::n()], [dplyr::group_by()].
 #'
 #' @examples
 #' library(fgeo.tool)
-#' 
+#'
 #' # abundance() -------------------------------------------------------------
-#' 
+#'
 #' abundance(data.frame(1))
-#' 
+#'
 #' # One stem per tree
 #' tree <- tribble(
 #'   ~TreeID, ~StemID, ~DBH,
 #'   "1", "1.1", 11,
 #'   "2", "2.1", 21
 #' )
-#' 
+#'
 #' abundance(tree)
-#' 
+#'
 #' # One tree with multiple stems
 #' stem <- tribble(
 #'   ~TreeID, ~StemID, ~DBH,
 #'   "1", "1.1", 11,
 #'   "1", "1.2", 12
 #' )
-#' 
-#' abundance(stem)
 #'
+#' abundance(stem)
 #' \dontrun{
 #' # Similar but more realistic
 #' stem <- fgeo.x::download_data("luquillo_stem5_random")
-#' 
+#'
 #' abundance(stem)
-#' 
+#'
 #' abundance(pick_main_stem(stem))
 #' }
-#' 
+#'
 #' vft <- tribble(
 #'   ~PlotName, ~CensusID, ~TreeID, ~StemID, ~DBH,
 #'   "p", 1, "1", "1.1", 10,
 #'   "q", 2, "1", "1.1", 10
 #' )
-#' 
+#'
 #' # * Warns if it detects multiple values of censusid or plotname
 #' # * Also warns if it detects duplicated values of treeid
 #' abundance(vft)
-#' 
+#'
 #' # If trees have buttressess, the data may have multiple stems per treeid or
 #' # multiple measures per stemid.
 #' vft2 <- tribble(
@@ -76,12 +75,12 @@
 #'   1, "2", "2.1", 20, 130,
 #'   1, "2", "2.2", 30, 130,
 #' )
-#' 
+#'
 #' # You should count only the main stem of each tree
 #' (main_stem <- pick_main_stem(vft2))
-#' 
+#'
 #' abundance(main_stem)
-#' 
+#'
 #' vft3 <- tribble(
 #'   ~CensusID, ~TreeID, ~StemID, ~DBH, ~HOM,
 #'   1, "1", "1.1", 20, 130,
@@ -89,35 +88,34 @@
 #'   2, "1", "1.1", 12, 130,
 #'   2, "1", "1.2", 22, 130 # Main stem
 #' )
-#' 
+#'
 #' # You can compute by groups
 #' by_census <- group_by(vft3, CensusID)
 #' (main_stems_by_census <- pick_main_stem(by_census))
-#' 
+#'
 #' abundance(main_stems_by_census)
-#' 
+#'
 #' # basal_area() ------------------------------------------------------------
-#' 
+#'
 #' # Data must have a column named dbh (case insensitive)
 #' basal_area(data.frame(dbh = 1))
-#' 
+#'
 #' # * Warns if it detects multiple values of censusid or plotname
 #' # * Also warns if it detects duplicated values of stemid
 #' basal_area(vft)
-#' 
+#'
 #' # First you may pick the main stemid of each stem
 #' (main_stemids <- pick_main_stemid(vft2))
-#' 
+#'
 #' basal_area(main_stemids)
-#' 
+#'
 #' # You can compute by groups
 #' basal_area(by_census)
-#'
 #' \dontrun{
 #' measurements_is_installed <- requireNamespace("measurements", quietly = TRUE)
 #' if (measurements_is_installed) {
 #'   library(measurements)
-#' 
+#'
 #'   # Convert units
 #'   ba <- basal_area(by_census)
 #'   ba$basal_area_he <- conv_unit(
@@ -125,26 +123,26 @@
 #'     from = "mm2",
 #'     to = "hectare"
 #'   )
-#' 
+#'
 #'   ba
 #' }
 #' }
-#' 
+#'
 #' @family functions for abundance and basal area
 #' @name abundance
 NULL
 with_anycase_group_df <- function(.summary, side_effects) {
-  function(x) {
+  function(data) {
     # Census and ViewFull tables have column names with different case. To
     # handle both kinds of dataset we lowercase column and group names.
-    low_nms <- groups_lower(set_names(x, tolower))
+    low_nms <- groups_lower(set_names(data, tolower))
     # Allow multiple, different side effects for different summaries
     lapply(side_effects, function(.f) .f(low_nms))
 
     result <- .summary(low_nms)
 
     # Restore the original case of names and relevant groups
-    restore_input_names_output_groups(result, x)
+    restore_input_names_output_groups(result, data)
   }
 }
 
@@ -162,18 +160,21 @@ basal_area <- with_anycase_group_df(
   list(warn_if_needed_stemid, warn_if_needed_plotname_censusid)
 )
 
-abundance_df <- function(x) {
-  g <- dplyr::group_vars(x)
-  out <- summarize(x, n = n())
+abundance_df <- function(data) {
+  g <- dplyr::group_vars(data)
+  out <- summarize(data, n = n())
   dplyr::grouped_df(out, g)
 }
 
-basal_area_df <- function(x) {
-  g <- dplyr::group_vars(x)
-  if (rlang::is_empty(x)) {
-    x <- tibble(dbh = double(0))
+basal_area_df <- function(data) {
+  g <- dplyr::group_vars(data)
+  if (rlang::is_empty(data)) {
+    data <- tibble(dbh = double(0))
   }
-  out <- summarize(x, basal_area = sum(basal_area_dbl(.data$dbh), na.rm = TRUE))
+  out <- summarize(
+    data,
+    basal_area = sum(basal_area_dbl(.data$dbh), na.rm = TRUE)
+  )
   dplyr::grouped_df(out, g)
 }
 
@@ -181,8 +182,8 @@ basal_area_dbl <- function(x) {
   1 / 4 * pi * (x)^2
 }
 
-groups_lower <- function(x) {
-  dplyr::grouped_df(x, tolower(dplyr::group_vars(x)))
+groups_lower <- function(data) {
+  dplyr::grouped_df(data, tolower(dplyr::group_vars(data)))
 }
 
 #' Get the correct grouping variables.
@@ -192,8 +193,9 @@ groups_lower <- function(x) {
 #' have the correct grouping variables but with the wrong case. This function
 #' outputs a sting of the grouping variable in `x` with the case of `y`.
 #'
-#' @param x A dataframe which groups are ok but lowercase.
-#' @param y A reference dataframe which gropus are not ok but have correct case.
+#' @param data A dataframe which groups are ok but lowercase.
+#' @param data_ref A reference dataframe which gropus are not ok but have
+#'   correct case.
 #'
 #' @examples
 #' out <- dplyr::grouped_df(tibble::tibble(x = 1, y = 1, z = 1), c("x", "y"))
@@ -201,61 +203,61 @@ groups_lower <- function(x) {
 #' ref <- dplyr::grouped_df(rlang::set_names(out, toupper), c("X"))
 #' group_vars_restore(out, ref)
 #' @noRd
-group_vars_restore <- function(x, y) {
+group_vars_restore <- function(data, data_ref) {
   in_ref <- fgeo.tool::detect_insensitive(
-    dplyr::group_vars(x),
-    dplyr::group_vars(y)
+    dplyr::group_vars(data),
+    dplyr::group_vars(data_ref)
   )
 
   fgeo.tool::extract_insensitive(
-    dplyr::group_vars(x),
-    dplyr::group_vars(y)
+    dplyr::group_vars(data),
+    dplyr::group_vars(data_ref)
   )
 }
 
-restore_input_names_output_groups <- function(out, .data) {
-  out <- rename_matches(out, .data)
-  g <- group_vars_restore(out, .data)
-  dplyr::grouped_df(ungroup(out), g)
+restore_input_names_output_groups <- function(data, data_ref) {
+  data_ <- rename_matches(data, data_ref)
+  g <- group_vars_restore(data_, data_ref)
+  dplyr::grouped_df(ungroup(data_), g)
 }
 
-# Only if data contains specific `name`s.
-warn_if_needed_plotname_censusid <- function(.x) {
+# Warn only if data contains specific `name`s.
+warn_if_needed_plotname_censusid <- function(data) {
   warn_if_has_var(
-    .x,
+    data,
     name = "censusid", predicate = is_multiple,
     problem = "Multiple", hint = "Do you need to group by censusid?"
   )
   warn_if_has_var(
-    .x,
+    data,
     name = "plotname", predicate = is_multiple,
     problem = "Multiple", hint = "Do you need to pick a single plot?"
   )
 
-  invisible(.x)
+  invisible(data)
 }
 
-warn_if_needed_treeid <- function(.x) {
+warn_if_needed_treeid <- function(data) {
   warn_if_has_var(
-    .x,
+    data,
     name = "treeid", predicate = is_duplicated,
     problem = "Duplicated", hint = "Do you need to pick main stems?"
   )
-  invisible(.x)
+  invisible(data)
 }
 
-warn_if_needed_stemid <- function(.x) {
+warn_if_needed_stemid <- function(data) {
   warn_if_has_var(
-    .x,
+    data,
     name = "stemid", predicate = is_duplicated,
     problem = "Duplicated", hint = "Do you need to pick largest `hom` values?"
   )
-  invisible(.x)
+  invisible(data)
 }
 
-warn_if_has_var <- function(.x, name, predicate, problem, hint) {
-  if (utils::hasName(.x, name)) {
+warn_if_has_var <- function(data, name, predicate, problem, hint) {
+  if (utils::hasName(data, name)) {
     msg <- glue("`{name}`: {problem} values were detected. {hint}")
-    fgeo.tool::flag_if_group(.x, name, predicate, warn, msg)
+    fgeo.tool::flag_if_group(data, name, predicate, warn, msg)
   }
 }
diff --git a/R/byyr.R b/R/byyr.R
index 5b2c546..f5297c3 100644
--- a/R/byyr.R
+++ b/R/byyr.R
@@ -28,7 +28,7 @@
 #'
 #' @examples
 #' library(fgeo.tool)
-#' 
+#'
 #' # Example data
 #' vft <- tibble(
 #'   PlotName = c("luq", "luq", "luq", "luq", "luq", "luq", "luq", "luq"),
@@ -52,13 +52,13 @@
 #'   Tag = c(1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L),
 #'   HOM = c(130L, 130L, 130L, 130L, 130L, 130L, 130L, 130L)
 #' )
-#' 
+#'
 #' vft
-#' 
+#'
 #' abundance_byyr(vft, DBH >= 10, DBH < 20)
-#' 
+#'
 #' abundance_byyr(vft, DBH >= 10)
-#' 
+#'
 #' basal <- basal_area_byyr(vft, DBH >= 10)
 #' basal
 #' \dontrun{
@@ -72,7 +72,7 @@
 #'       ~ measurements::conv_unit(.x, from = "mm2", to = "hectare")
 #'     )
 #'   basal_he
-#' 
+#'
 #'   # Standardize
 #'   number_of_hectares <- 50
 #'   basal_he %>%
@@ -148,14 +148,14 @@ pick_byyr <- function(vft, ...) {
   dplyr::filter(vft, !!!dots)
 }
 
-add_years <- function(x) {
-  drop_if_missing_dates(x) %>%
+add_years <- function(data) {
+  drop_if_missing_dates(data) %>%
     mean_years() %>%
     fgeo.tool::drop_if_na("year")
 }
 
-mean_years <- function(vft) {
-  years <- vft %>%
+mean_years <- function(data) {
+  years <- data %>%
     set_names(tolower) %>%
     group_by(.data$plotcensusnumber) %>%
     summarize(
@@ -164,28 +164,28 @@ mean_years <- function(vft) {
     unique() %>%
     arrange(.data$plotcensusnumber) %>%
     ungroup() %>%
-    rename_matches(vft)
+    rename_matches(data)
 
-  dplyr::left_join(vft, years, by = "plotcensusnumber") %>%
+  dplyr::left_join(data, years, by = "plotcensusnumber") %>%
     mutate(species = paste(.data$genus, .data$speciesname)) %>%
     arrange(.data$year)
 }
 
-drop_if_missing_dates <- function(x) {
-  missing_dates <- is.na(insensitive(x)$exactdate)
+drop_if_missing_dates <- function(data) {
+  missing_dates <- is.na(insensitive(data)$exactdate)
   if (any(missing_dates)) {
     warn("Detected and ignoring missing dates.")
   }
-  x <- x[!missing_dates, , drop = FALSE]
-  invisible(x)
+  data <- data[!missing_dates, , drop = FALSE]
+  invisible(data)
 }
 
-tidy_byyr_names <- function(x) {
-  x <- rlang::set_names(x, tolower)
+tidy_byyr_names <- function(data) {
+  data_ <- rlang::set_names(data, tolower)
   spp_family <- c("species", "family")
-  yr_nms <- setdiff(names(x), spp_family)
-  names(x) <- c(spp_family, glue("yr_{yr_nms}"))
-  x
+  yr_nms <- setdiff(names(data_), spp_family)
+  names(data_) <- c(spp_family, glue("yr_{yr_nms}"))
+  data_
 }
 
 #' Inform, warn or abort if not all expresisons refer to a given variable.
@@ -197,8 +197,8 @@ tidy_byyr_names <- function(x) {
 #'
 #' @noRd
 flag_if_not_expression_of_var <- function(dots, .flag, .var) {
-  .dots <- rlang::expr_deparse(dots)
-  if (!any(grepl(.var, .dots))) {
+  dots_ <- rlang::expr_deparse(dots)
+  if (!any(grepl(.var, dots_))) {
     flag_is_abort <- identical(.flag, rlang::abort)
     request <- ifelse(flag_is_abort, "must", "should")
     msg <- glue("All expressions passed to `...` {request} refer to `{.var}`.")
diff --git a/R/fgeo_habitat.R b/R/fgeo_habitat.R
index 57f5cae..f2a83b6 100644
--- a/R/fgeo_habitat.R
+++ b/R/fgeo_habitat.R
@@ -26,7 +26,7 @@
 #'   elevation_ls,
 #'   gridsize = 20, n = 4
 #' )
-#' 
+#'
 #' # Or
 #' elevation_df <- fgeo.x::elevation$col
 #' habitats <- fgeo_habitat(
@@ -34,32 +34,32 @@
 #'   gridsize = 20, n = 4,
 #'   xdim = 320, ydim = 500
 #' )
-#' 
+#'
 #' str(habitats)
 #' \dontrun{
 #' fgeo_plot_is_installed <- requireNamespace("fgeo.plot", quietly = TRUE)
 #' if (fgeo_plot_is_installed) {
 #'   library(fgeo.plot)
-#' 
+#'
 #'   autoplot(habitats)
 #' }
 #' }
-#' 
+#'
 #' # Habitat data is useful for calculating species-habitat associations
 #' census <- fgeo.x::tree6_3species
-#' 
+#'
 #' as_tibble(
 #'   tt_test(census, habitats)
 #' )
 #' @family habitat functions
 #' @family functions to construct fgeo classes
 #' @export
-fgeo_habitat <- function(elevation, gridsize, n, ...) {
-  out <- add_cluster(fgeo_topography(elevation, gridsize, ...), n)
+fgeo_habitat <- function(elev, gridsize, n, ...) {
+  out <- add_cluster(fgeo_topography(elev, gridsize, ...), n)
   names(out) <- sub("cluster", "habitats", names(out))
   new_fgeo_habitat(out[c("gx", "gy", "habitats")])
 }
 
-new_fgeo_habitat <- function(x) {
-  structure(x, class = c("fgeo_habitat", class(x)))
+new_fgeo_habitat <- function(data) {
+  structure(data, class = c("fgeo_habitat", class(data)))
 }
diff --git a/R/fgeo_topography.R b/R/fgeo_topography.R
index dd94a72..af8648d 100644
--- a/R/fgeo_topography.R
+++ b/R/fgeo_topography.R
@@ -2,15 +2,10 @@
 #'
 #' @inherit fgeo_habitat details
 #'
-#' @param elevation One of these:
-#'  * A dataframe containing elevation data, with columns `gx` and `gy` or `x`
-#'  and `y` (e.g. `fgeo.x::elevation$col`).
-#'  * A ForestGEO-like elevation list with elements
-#'  `xdim` and `ydim` giving plot dimensions, and element `col` containing a
-#'  dataframe as described in the previous item (e.g. `fgeo.x::elevation`).
+#' @inheritParams fgeo.tool::fgeo_elevation
 #' @param gridsize Number giving the size of each quadrat for which a habitat
 #'   is calculated. Commonly, `gridsize = 20`.
-#' @param xdim,ydim (Required if `elevation` is a dataframe) `x` and `y`
+#' @param xdim,ydim (Required if `elev` is a dataframe) `x` and `y`
 #'   dimensions of the plot.
 #' @param edgecorrect Correct convexity in edge quadrats?
 #' @param ... Other arguments passed to methods.
@@ -25,24 +20,24 @@
 #' @examples
 #' elev_list <- fgeo.x::elevation
 #' fgeo_topography(elev_list, gridsize = 20)
-#' 
+#'
 #' elev_df <- elev_list$col
 #' fgeo_topography(elev_df, gridsize = 20, xdim = 320, ydim = 500)
 #' @family habitat functions
 #' @family functions to construct fgeo classes
 #' @export
-fgeo_topography <- function(elevation, ...) {
+fgeo_topography <- function(elev, ...) {
   UseMethod("fgeo_topography")
 }
 
 #' @export
-fgeo_topography.default <- function(elevation, gridsize, ...) {
-  abort_bad_class(elevation)
+fgeo_topography.default <- function(elev, gridsize, ...) {
+  abort_bad_class(elev)
 }
 
 #' @rdname fgeo_topography
 #' @export
-fgeo_topography.data.frame <- function(elevation,
+fgeo_topography.data.frame <- function(elev,
                                        gridsize,
                                        xdim = NULL,
                                        ydim = NULL,
@@ -51,24 +46,24 @@ fgeo_topography.data.frame <- function(elevation,
   force(gridsize)
   abort_if_xdim_ydim_is_null(xdim, ydim)
 
-  elevation_ls <- list(col = elevation, xdim = xdim, ydim = ydim)
-  fgeo_topography.list(elevation = elevation_ls, gridsize, edgecorrect)
+  elevation_ls <- list(col = elev, xdim = xdim, ydim = ydim)
+  fgeo_topography.list(elev = elevation_ls, gridsize, edgecorrect)
 }
 
 #' @rdname fgeo_topography
 #' @export
-fgeo_topography.list <- function(elevation,
+fgeo_topography.list <- function(elev,
                                  gridsize,
                                  edgecorrect = TRUE,
                                  ...) {
   force(gridsize)
-  plotdim <- c(elevation$xdim, elevation$ydim)
+  plotdim <- c(elev$xdim, elev$ydim)
 
   # Match names-requirements of allquadratslopes()
-  names(elevation$col) <- sub("gx", "x", names(elevation$col))
-  names(elevation$col) <- sub("gy", "y", names(elevation$col))
+  names(elev$col) <- sub("gx", "x", names(elev$col))
+  names(elev$col) <- sub("gy", "y", names(elev$col))
   topo <- suppressMessages(
-    allquadratslopes(elevation, gridsize, plotdim, edgecorrect)
+    allquadratslopes(elev, gridsize, plotdim, edgecorrect)
   )
 
   quad_idx <- as.integer(rownames(topo))
@@ -77,8 +72,8 @@ fgeo_topography.list <- function(elevation,
   new_fgeo_topography(out)
 }
 
-new_fgeo_topography <- function(x) {
-  structure(x, class = c("fgeo_topography", class(x)))
+new_fgeo_topography <- function(data) {
+  structure(data, class = c("fgeo_topography", class(data)))
 }
 
 abort_if_xdim_ydim_is_null <- function(xdim, ydim) {
@@ -121,7 +116,7 @@ abort_if_xdim_ydim_is_null <- function(xdim, ydim) {
 #' @noRd
 allquadratslopes <- function(elev, gridsize, plotdim, edgecorrect = TRUE) {
   if (!"col" %in% names(elev)) {
-    warning("Input to elev must be a list with one element named 'col'.")
+    warn("Input to elev must be a list with one element named 'col'.")
   }
   rw <- cl <- 0
   on.exit(message(rw, " ", cl, "\n"))
diff --git a/R/tt_test.R b/R/tt_test.R
index 6224781..af37798 100644
--- a/R/tt_test.R
+++ b/R/tt_test.R
@@ -14,7 +14,7 @@
 #' abundant species. In a 50-ha plot, a minimum abundance of 50 trees/species
 #' has been used.
 #'
-#' @param census A dataframe; a ForestGEO _tree_ table (see details).
+#' @param tree A dataframe; a ForestGEO _tree_ table (see details).
 #' @param sp Character sting giving any number of species-names.
 #' @param habitat Object giving the habitat designation for each
 #'   plot partition defined by `gridsize`. See [`fgeo_habitat()`].
@@ -67,47 +67,47 @@
 #'
 #' @examples
 #' library(fgeo.tool)
-#' 
+#'
 #' # Example data
 #' tree <- fgeo.x::tree6_3species
 #' elevation <- fgeo.x::elevation
-#' 
+#'
 #' # Pick alive trees, of 10 mm or more
 #' census <- filter(tree, status == "A", dbh >= 10)
-#' 
+#'
 #' # Pick sufficiently abundant species
 #' pick <- filter(dplyr::add_count(census, sp), n > 50)
-#' 
+#'
 #' # Use your habitat data or create it from elevation data
 #' habitat <- fgeo_habitat(elevation, gridsize = 20, n = 4)
-#' 
+#'
 #' # Defaults to using all species
 #' as_tibble(
 #'   tt_test(census, habitat)
 #' )
-#' 
+#'
 #' Reduce(rbind, tt_test(census, habitat))
-#' 
+#'
 #' some_species <- c("CASARB", "PREMON")
 #' result <- tt_test(census, habitat, sp = some_species)
 #' result
-#' 
+#'
 #' as_tibble(result)
-#' 
+#'
 #' summary(result)
 #' @family habitat functions
 #' @export
-tt_test <- function(census,
+tt_test <- function(tree,
                     habitat,
                     sp = NULL,
                     plotdim = NULL,
                     gridsize = NULL) {
-  stopifnot(is.data.frame(census))
+  stopifnot(is.data.frame(tree))
 
-  n_row <- nrow(dplyr::filter_all(census, dplyr::all_vars(is.na(.))))
+  n_row <- nrow(dplyr::filter_all(tree, dplyr::all_vars(is.na(.))))
   if (n_row > 0) {
     warn(glue("Dropping {n_row} row(s) full of missing values"))
-    census <- dplyr::filter_all(census, dplyr::any_vars(!is.na(.)))
+    tree <- dplyr::filter_all(tree, dplyr::any_vars(!is.na(.)))
   }
 
   stopifnot(is.data.frame(habitat))
@@ -122,11 +122,11 @@ tt_test <- function(census,
   gridsize <- gridsize %||% fgeo.tool::extract_gridsize(habitat)
   inform_gridsize_plotdim(gridsize, plotdim)
 
-  sp <- sp %||% unique(census$sp)[!is.na(unique(census$sp))]
+  sp <- sp %||% unique(tree$sp)[!is.na(unique(tree$sp))]
   habitat <- sanitize_habitat_names_if_necessary(habitat)
-  check_tt_test(census, habitat, sp, plotdim, gridsize)
+  check_tt_test(tree, habitat, sp, plotdim, gridsize)
 
-  abundance <- abund_index(census, plotdim, gridsize)
+  abundance <- abund_index(tree, plotdim, gridsize)
   result <- lapply(
     X = sp,
     FUN = torusonesp.all,
diff --git a/README.Rmd b/README.Rmd
index 5c88db3..fc3d7fc 100644
--- a/README.Rmd
+++ b/README.Rmd
@@ -27,8 +27,8 @@ __fgeo.analyze__ provides functions to analyze [ForestGEO](http://www.forestgeo.
 Install the latest stable version of **fgeo.analyze** with:
 
 ```R
-# install.packages("devtools")
-devtools::install_github("forestgeo/fgeo.analyze@*release")
+these_repos <- c(getOption("repos"), "https://forestgeo.github.io/drat")
+install.packages("fgeo.analyze", repos = these_repos)
 ```
 
 Install the development version of **fgeo.analyze** with:
diff --git a/README.md b/README.md
index 4d08337..6c739e5 100644
--- a/README.md
+++ b/README.md
@@ -19,8 +19,8 @@ status](https://www.r-pkg.org/badges/version/fgeo.analyze)](https://cran.r-proje
 Install the latest stable version of **fgeo.analyze** with:
 
 ``` r
-# install.packages("devtools")
-devtools::install_github("forestgeo/fgeo.analyze@*release")
+these_repos <- c(getOption("repos"), "https://forestgeo.github.io/drat")
+install.packages("fgeo.analyze", repos = these_repos)
 ```
 
 Install the development version of **fgeo.analyze** with:
diff --git a/cran-comments.md b/cran-comments.md
index b8a1088..c73e8ce 100644
--- a/cran-comments.md
+++ b/cran-comments.md
@@ -6,13 +6,19 @@
 
 ## R CMD check results
 
+'fgeo.analyze' version '1.1.0'
+
 WARNING
 New submission
-Unknown, possibly mis-spelled, fields in DESCRIPTION:
-  'Remotes'
 Strong dependencies not in mainstream repositories:
   fgeo.tool, fgeo.x
+Availability using Additional_repositories specification:
+  fgeo.tool   yes   https://forestgeo.github.io/drat/
+  fgeo.x      yes   https://forestgeo.github.io/drat/
 
 ## Downstream dependencies
 
-There are currently no downstream dependencies on CRAN for this package.
+I checked 1 reverse dependencies (0 from CRAN + 1 from <https://forestgeo.github.io/drat/>; summary at <https://github.com/forestgeo/fgeo.analyze/tree/master/revdep>):
+
+ * I saw 0 new problems
+ * I failed to check 0 packages
diff --git a/docs/CODE_OF_CONDUCT.html b/docs/CODE_OF_CONDUCT.html
index 542bc0a..58638bd 100644
--- a/docs/CODE_OF_CONDUCT.html
+++ b/docs/CODE_OF_CONDUCT.html
@@ -60,7 +60,7 @@
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="index.html">fgeo.analyze</a>
-        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">1.0.3.9000</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">1.1.0</span>
       </span>
     </div>
 
diff --git a/docs/CONTRIBUTING.html b/docs/CONTRIBUTING.html
index 049e21a..293f4d8 100644
--- a/docs/CONTRIBUTING.html
+++ b/docs/CONTRIBUTING.html
@@ -60,7 +60,7 @@
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="index.html">fgeo.analyze</a>
-        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">1.0.3.9000</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">1.1.0</span>
       </span>
     </div>
 
diff --git a/docs/ISSUE_TEMPLATE.html b/docs/ISSUE_TEMPLATE.html
index ccba654..2fe6aa1 100644
--- a/docs/ISSUE_TEMPLATE.html
+++ b/docs/ISSUE_TEMPLATE.html
@@ -60,7 +60,7 @@
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="index.html">fgeo.analyze</a>
-        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">1.0.3.9000</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">1.1.0</span>
       </span>
     </div>
 
diff --git a/docs/LICENSE.html b/docs/LICENSE.html
index 79eae22..321a528 100644
--- a/docs/LICENSE.html
+++ b/docs/LICENSE.html
@@ -60,7 +60,7 @@
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="index.html">fgeo.analyze</a>
-        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">1.0.3.9000</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">1.1.0</span>
       </span>
     </div>
 
diff --git a/docs/SUPPORT.html b/docs/SUPPORT.html
index ac442a8..a709716 100644
--- a/docs/SUPPORT.html
+++ b/docs/SUPPORT.html
@@ -60,7 +60,7 @@
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="index.html">fgeo.analyze</a>
-        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">1.0.3.9000</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">1.1.0</span>
       </span>
     </div>
 
diff --git a/docs/authors.html b/docs/authors.html
index 30dda52..47f3a6f 100644
--- a/docs/authors.html
+++ b/docs/authors.html
@@ -60,7 +60,7 @@
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="index.html">fgeo.analyze</a>
-        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">1.0.3.9000</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">1.1.0</span>
       </span>
     </div>
 
diff --git a/docs/index.html b/docs/index.html
index f79842e..97f8ea7 100644
--- a/docs/index.html
+++ b/docs/index.html
@@ -31,7 +31,7 @@
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="index.html">fgeo.analyze</a>
-        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">1.0.3.9000</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">1.1.0</span>
       </span>
     </div>
 
@@ -103,8 +103,8 @@
 <h2 class="hasAnchor">
 <a href="#installation" class="anchor"></a>Installation</h2>
 <p>Install the latest stable version of <strong>fgeo.analyze</strong> with:</p>
-<div class="sourceCode" id="cb1"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb1-1" data-line-number="1"><span class="co"># install.packages("devtools")</span></a>
-<a class="sourceLine" id="cb1-2" data-line-number="2">devtools<span class="op">::</span><span class="kw"><a href="https://www.rdocumentation.org/packages/devtools/topics/reexports">install_github</a></span>(<span class="st">"forestgeo/fgeo.analyze@*release"</span>)</a></code></pre></div>
+<div class="sourceCode" id="cb1"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb1-1" data-line-number="1">these_repos &lt;-<span class="st"> </span><span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/c">c</a></span>(<span class="kw"><a href="https://www.rdocumentation.org/packages/base/topics/options">getOption</a></span>(<span class="st">"repos"</span>), <span class="st">"https://forestgeo.github.io/drat"</span>)</a>
+<a class="sourceLine" id="cb1-2" data-line-number="2"><span class="kw"><a href="https://www.rdocumentation.org/packages/utils/topics/install.packages">install.packages</a></span>(<span class="st">"fgeo.analyze"</span>, <span class="dt">repos =</span> these_repos)</a></code></pre></div>
 <p>Install the development version of <strong>fgeo.analyze</strong> with:</p>
 <div class="sourceCode" id="cb2"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb2-1" data-line-number="1"><span class="co"># install.packages("devtools")</span></a>
 <a class="sourceLine" id="cb2-2" data-line-number="2">devtools<span class="op">::</span><span class="kw"><a href="https://www.rdocumentation.org/packages/devtools/topics/reexports">install_github</a></span>(<span class="st">"forestgeo/fgeo.analyze"</span>)</a></code></pre></div>
diff --git a/inst/WORDLIST b/inst/WORDLIST
index 812c551..041ec83 100644
--- a/inst/WORDLIST
+++ b/inst/WORDLIST
@@ -33,6 +33,7 @@ substract
 Tarak
 tbl
 tibble
+tidyverse
 treeid
 tt
 TT
diff --git a/man/abundance.Rd b/man/abundance.Rd
index dc6c9a5..36b6eac 100644
--- a/man/abundance.Rd
+++ b/man/abundance.Rd
@@ -5,12 +5,12 @@
 \alias{basal_area}
 \title{Abundance and basal area, optionally by groups.}
 \usage{
-abundance(x)
+abundance(data)
 
-basal_area(x)
+basal_area(data)
 }
 \arguments{
-\item{x}{A dataframe. \code{\link[=basal_area]{basal_area()}} requires a column named \code{dbh} (case
+\item{data}{A dataframe. \code{\link[=basal_area]{basal_area()}} requires a column named \code{dbh} (case
 insensitive).}
 }
 \description{
@@ -57,7 +57,6 @@ stem <- tribble(
 )
 
 abundance(stem)
-
 \dontrun{
 # Similar but more realistic
 stem <- fgeo.x::download_data("luquillo_stem5_random")
@@ -122,7 +121,6 @@ basal_area(main_stemids)
 
 # You can compute by groups
 basal_area(by_census)
-
 \dontrun{
 measurements_is_installed <- requireNamespace("measurements", quietly = TRUE)
 if (measurements_is_installed) {
diff --git a/man/fgeo_habitat.Rd b/man/fgeo_habitat.Rd
index 2f7b6ae..54774ed 100644
--- a/man/fgeo_habitat.Rd
+++ b/man/fgeo_habitat.Rd
@@ -4,16 +4,16 @@
 \alias{fgeo_habitat}
 \title{Create habitat data from measures of topography.}
 \usage{
-fgeo_habitat(elevation, gridsize, n, ...)
+fgeo_habitat(elev, gridsize, n, ...)
 }
 \arguments{
-\item{elevation}{One of these:
+\item{elev}{One of these:
 \itemize{
-\item A dataframe containing elevation data, with columns \code{gx} and \code{gy} or \code{x}
-and \code{y} (e.g. \code{fgeo.x::elevation$col}).
-\item A ForestGEO-like elevation list with elements
-\code{xdim} and \code{ydim} giving plot dimensions, and element \code{col} containing a
-dataframe as described in the previous item (e.g. \code{fgeo.x::elevation}).
+\item A dataframe containing elevation data, with columns \code{gx}, \code{gy}, and
+\code{elev}, or \code{x}, \code{y}, and \code{elev} (e.g. \code{fgeo.x::elevation$col}).
+\item A ForestGEO-like elevation list with elements \code{xdim} and \code{ydim} giving
+plot dimensions, and element \code{col} containing a dataframe as described in
+the previous item (e.g. \code{fgeo.x::elevation}).
 }}
 
 \item{gridsize}{Number giving the size of each quadrat for which a habitat
diff --git a/man/fgeo_topography.Rd b/man/fgeo_topography.Rd
index 9658ab6..49e39f4 100644
--- a/man/fgeo_topography.Rd
+++ b/man/fgeo_topography.Rd
@@ -6,22 +6,21 @@
 \alias{fgeo_topography.list}
 \title{Create topography data: convexity, slope, and mean elevation.}
 \usage{
-fgeo_topography(elevation, ...)
+fgeo_topography(elev, ...)
 
-\method{fgeo_topography}{data.frame}(elevation, gridsize, xdim = NULL,
+\method{fgeo_topography}{data.frame}(elev, gridsize, xdim = NULL,
   ydim = NULL, edgecorrect = TRUE, ...)
 
-\method{fgeo_topography}{list}(elevation, gridsize, edgecorrect = TRUE,
-  ...)
+\method{fgeo_topography}{list}(elev, gridsize, edgecorrect = TRUE, ...)
 }
 \arguments{
-\item{elevation}{One of these:
+\item{elev}{One of these:
 \itemize{
-\item A dataframe containing elevation data, with columns \code{gx} and \code{gy} or \code{x}
-and \code{y} (e.g. \code{fgeo.x::elevation$col}).
-\item A ForestGEO-like elevation list with elements
-\code{xdim} and \code{ydim} giving plot dimensions, and element \code{col} containing a
-dataframe as described in the previous item (e.g. \code{fgeo.x::elevation}).
+\item A dataframe containing elevation data, with columns \code{gx}, \code{gy}, and
+\code{elev}, or \code{x}, \code{y}, and \code{elev} (e.g. \code{fgeo.x::elevation$col}).
+\item A ForestGEO-like elevation list with elements \code{xdim} and \code{ydim} giving
+plot dimensions, and element \code{col} containing a dataframe as described in
+the previous item (e.g. \code{fgeo.x::elevation}).
 }}
 
 \item{...}{Other arguments passed to methods.}
@@ -29,7 +28,7 @@ dataframe as described in the previous item (e.g. \code{fgeo.x::elevation}).
 \item{gridsize}{Number giving the size of each quadrat for which a habitat
 is calculated. Commonly, \code{gridsize = 20}.}
 
-\item{xdim, ydim}{(Required if \code{elevation} is a dataframe) \code{x} and \code{y}
+\item{xdim, ydim}{(Required if \code{elev} is a dataframe) \code{x} and \code{y}
 dimensions of the plot.}
 
 \item{edgecorrect}{Correct convexity in edge quadrats?}
diff --git a/man/tt_test.Rd b/man/tt_test.Rd
index 747630d..d9cbe8e 100644
--- a/man/tt_test.Rd
+++ b/man/tt_test.Rd
@@ -4,10 +4,10 @@
 \alias{tt_test}
 \title{Torus Translation Test to determine habitat associations of tree species.}
 \usage{
-tt_test(census, habitat, sp = NULL, plotdim = NULL, gridsize = NULL)
+tt_test(tree, habitat, sp = NULL, plotdim = NULL, gridsize = NULL)
 }
 \arguments{
-\item{census}{A dataframe; a ForestGEO \emph{tree} table (see details).}
+\item{tree}{A dataframe; a ForestGEO \emph{tree} table (see details).}
 
 \item{habitat}{Object giving the habitat designation for each
 plot partition defined by \code{gridsize}. See \code{\link[=fgeo_habitat]{fgeo_habitat()}}.}
diff --git a/tests/testthat/test-tt_test.R b/tests/testthat/test-tt_test.R
index 8d4164e..8304a97 100644
--- a/tests/testthat/test-tt_test.R
+++ b/tests/testthat/test-tt_test.R
@@ -70,8 +70,8 @@ test_that("species may be factor or character", {
 
 test_that("tt_test fails gracefully with bad input", {
   expect_error(
-    tt_test(census = 1, c("SLOBER", "PREMON"), habitat = hab_luq),
-    "data.frame.*census.*is not TRUE"
+    tt_test(1, c("SLOBER", "PREMON"), habitat = hab_luq),
+    "data.frame.*is not TRUE"
   )
 
   expect_error(