Allow n() in data_modify()

DESCRIPTION

@@ -1,7 +1,7 @@
 Type: Package
 Package: datawizard
 Title: Easy Data Wrangling and Statistical Transformations
-Version: 0.12.2.1
+Version: 0.12.2.2
 Authors@R: c(
     person("Indrajeet", "Patil", , "[email protected]", role = "aut",
            comment = c(ORCID = "0000-0003-1995-6531", Twitter = "@patilindrajeets")),

NEWS.md

@@ -5,6 +5,9 @@ CHANGES
 * `demean()` (and `degroup()`) now also work for nested designs, if argument
   `nested = TRUE` and  `by` specifies more than one variable.
 
+* `data_modify()` now recognizes `n()`, for example to create an index for data groups 
+  with `1:n()` (#535).
+
 # datawizard 0.12.2
 
 * Remove `htmltools` from `Suggests` in an attempt of fixing an error in CRAN

R/data_modify.R

@@ -22,6 +22,9 @@
 #'   character vector is provided, you may not add further elements to `...`.
 #' - Using `NULL` as right-hand side removes a variable from the data frame.
 #'   Example: `Petal.Width = NULL`.
+#' - For data frames (including grouped ones), the function `n()` can be used to count the
+#'   number of observations and thereby, for instance, create index values by
+#'   using `id = 1:n()` or `id = 3:(n()+2)` and similar.
 #'
 #' Note that newly created variables can be used in subsequent expressions,
 #' including `.at` or `.if`. See also 'Examples'.
@@ -92,7 +95,8 @@
 #'   grouped_efc,
 #'   c12hour_c = center(c12hour),
 #'   c12hour_z = c12hour_c / sd(c12hour, na.rm = TRUE),
-#'   c12hour_z2 = standardize(c12hour)
+#'   c12hour_z2 = standardize(c12hour),
+#'   id = 1:n()
 #' )
 #' head(new_efc)
 #'
@@ -145,6 +149,11 @@ data_modify.default <- function(data, ...) {
 data_modify.data.frame <- function(data, ..., .if = NULL, .at = NULL, .modify = NULL) {
   dots <- eval(substitute(alist(...)))
 
+  # error for data frames with no rows...
+  if (nrow(data) == 0) {
+    insight::format_error("`data` is an empty data frame. `data_modify()` only works for data frames with at least one row.") # nolint
+  }
+
   # check if we have dots, or only at/modify ----
 
   if (length(dots)) {
@@ -201,6 +210,10 @@ data_modify.grouped_df <- function(data, ..., .if = NULL, .at = NULL, .modify =
   # the data.frame method later...
   dots <- match.call(expand.dots = FALSE)[["..."]]
 
+  # error for data frames with no rows...
+  if (nrow(data) == 0) {
+    insight::format_error("`data` is an empty data frame. `data_modify()` only works for data frames with at least one row.") # nolint
+  }
 
   grps <- attr(data, "groups", exact = TRUE)
   grps <- grps[[".rows"]]
@@ -352,8 +365,12 @@ data_modify.grouped_df <- function(data, ..., .if = NULL, .at = NULL, .modify =
   # finally, we can evaluate expression and get values for new variables
   symbol_string <- insight::safe_deparse(symbol)
   if (!is.null(symbol_string) && all(symbol_string == "n()")) {
-    # "special" functions
+    # "special" functions - using "n()" just returns number of rows
     new_variable <- nrow(data)
+  } else if (!is.null(symbol_string) && length(symbol_string) == 1 && grepl("\\bn\\(\\)", symbol_string)) {
+    # "special" functions, like "1:n()" or similar - but not "1:fun()"
+    symbol_string <- str2lang(gsub("n()", "nrow(data)", symbol_string, fixed = TRUE))
+    new_variable <- try(with(data, eval(symbol_string)), silent = TRUE)
   } else {
     # default evaluation of expression
     new_variable <- try(with(data, eval(symbol)), silent = TRUE)

tests/testthat/test-data_modify.R

@@ -353,6 +353,16 @@ test_that("data_modify errors for non df", {
 })
 
 
+test_that("data_modify errors for empty data frames", {
+  data(mtcars)
+  x <- mtcars[1, ]
+  expect_error(
+    data_modify(x[-1, ], new_var = 5),
+    regex = "empty data frame"
+  )
+})
+
+
 test_that("data_modify errors for non df", {
   data(efc)
   a <- "center(c22hour)" # <---------------- error in variable name
@@ -492,6 +502,20 @@ test_that("data_modify works with functions that return character vectors", {
 })
 
 
+test_that("data_modify 1:n() and similar works in (grouped) data frames", {
+  data(mtcars)
+  out <- data_modify(mtcars, Trials = 1:n()) # nolint
+  expect_identical(out$Trials, 1:32)
+  x <- data_group(mtcars, "gear")
+  out <- data_modify(x, Trials = 1:n()) # nolint
+  expect_identical(out$Trials[out$gear == 3], 1:15)
+  expect_identical(out$Trials[out$gear == 4], 1:12)
+  out <- data_modify(x, Trials = 3:(n() + 2))
+  expect_identical(out$Trials[out$gear == 3], 3:17)
+  expect_identical(out$Trials[out$gear == 4], 3:14)
+})
+
+
 test_that("data_modify .if/.at arguments", {
   data(iris)
   d <- iris[1:5, ]
@@ -550,3 +574,27 @@ test_that("data_modify .if/.at arguments", {
   out <- data_modify(d, new_length = Petal.Length * 2, .if = is.numeric, .modify = round)
   expect_equal(out$new_length, c(3, 3, 3, 3, 3), ignore_attr = TRUE)
 })
+
+
+skip_if_not_installed("withr")
+
+withr::with_environment(
+  new.env(),
+  test_that("data_modify 1:n() and similar works in (grouped) data frames inside function calls", {
+    data(mtcars)
+    x <- data_group(mtcars, "gear")
+
+    foo <- function(d) {
+      out <- data_modify(d, Trials = 1:n()) # nolint
+      out$Trials
+    }
+    expect_identical(
+      foo(x),
+      c(
+        1L, 2L, 3L, 1L, 2L, 3L, 4L, 4L, 5L, 6L, 7L, 5L, 6L, 7L, 8L,
+        9L, 10L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 11L, 1L, 2L, 3L,
+        4L, 5L, 12L
+      )
+    )
+  })
+)