performance improvements in data.frame methods

DESCRIPTION

@@ -1,7 +1,7 @@
 Package: errors
 Type: Package
 Title: Uncertainty Propagation for R Vectors
-Version: 0.4.0.2
+Version: 0.4.1
 Authors@R: c(
     person("Iñaki", "Ucar", email="[email protected]",
       role=c("aut", "cph", "cre"), comment=c(ORCID="0000-0001-6403-5550")),
@@ -20,6 +20,6 @@ LazyData: true
 Depends: R (>= 3.0.0)
 Suggests: dplyr (>= 1.0.0), vctrs (>= 0.5.0), pillar, ggplot2 (>= 3.4.0),
     testthat, vdiffr, knitr, rmarkdown
-RoxygenNote: 7.2.2
+RoxygenNote: 7.2.3
 Roxygen: list(old_usage = TRUE)
 VignetteBuilder: knitr

NEWS.md

@@ -1,9 +1,10 @@
-# errors 0.4.0.2
+# errors 0.4.1
 
 - Switch from `size` (deprecated in `ggplot2` v3.4.0) to `linewidth` aesthetic
   in `geom_errors()` (#55).
 - Implement methods for dealing with missing values in `errors` objects,
   and fix `na.rm` behavior for summary methods (#56).
+- Performance improvements for `data.frame` methods.
 
 # errors 0.4.0
 

R/errors.R

@@ -232,9 +232,5 @@ drop_errors.errors <- function(x) {
 #' @name drop_errors
 #' @export
 drop_errors.data.frame <- function(x) {
-  for (i in seq_along(x)) {
-    if (inherits(x[[i]], "errors"))
-      x[[i]] <- drop_errors(x[[i]])
-  }
-  x
+  dfapply(x, function(i) if (inherits(i, "errors")) drop_errors(i) else i)
 }

R/misc.R

@@ -125,13 +125,10 @@ diff.errors <- function(x, lag = 1L, differences = 1L, ...) {
 as.data.frame.errors <- function(x, row.names = NULL, optional = FALSE, ...) {
   e <- .e(x)
   dim(e) <- dim(x)
-  e <- as.data.frame(e)
   xx <- as.data.frame(unclass(x), row.names, optional, ...)
   if (!optional && ncol(xx) == 1)
     colnames(xx) <- deparse(substitute(x))
-  for (i in seq_len(ncol(xx)))
-    errors(xx[[i]]) <- e[[i]]
-  xx
+  df2apply(xx, as.data.frame(e), set_errors)
 }
 
 #' Coerce to a List

R/utils.R

@@ -72,3 +72,17 @@ cond2int <- function(...) {
   args <- c(...)
   sum(2^(seq_along(args) - 1) * args)
 }
+
+dfapply <- function(X, FUN, ...) {
+  attrs <- attributes(X)
+  X <- lapply(X, FUN, ...)
+  attributes(X) <- attrs
+  X
+}
+
+df2apply <- function(X, Y, FUN, ...) {
+  attrs <- attributes(X)
+  X <- mapply(FUN, X, Y, ..., SIMPLIFY=FALSE)
+  attributes(X) <- attrs
+  X
+}

cran-comments.md

@@ -1,6 +1,6 @@
-## Minor release
+## Patch release
 
-Several fixes an improvements for errorbars for base plot and ggplot2.
+Several fixes an improvements.
 
 ## Test environments
 
@@ -14,4 +14,4 @@ There were no ERRORs, WARNINGs or NOTEs.
 ## Downstream dependencies
 
 There are two downstream dependencies, quantities and constants, for which I'm
-the maintainer too. An update for quantities is required.
+the maintainer too. No issues detected.