Merge pull request #97 from business-science/rc-0.1.6

RC 0.1.6

DESCRIPTION

@@ -1,7 +1,7 @@
 Package: tibbletime
 Type: Package
 Title: Time Aware Tibbles
-Version: 0.1.5.9000
+Version: 0.1.6
 Authors@R: c(
     person("Davis", "Vaughan", email = "[email protected]", role = c("aut", "cre")),
     person("Matt", "Dancho", email = "[email protected]", role = c("aut"))
@@ -39,6 +39,7 @@ Suggests:
     covr,
     gapminder,
     knitr,
+    rmarkdown,
     testthat,
     tidyr (>= 1.0.0)
 VignetteBuilder: knitr

NEWS.md

@@ -1,4 +1,4 @@
-# tibbletime (development version)
+# tibbletime 0.1.6
 
 * Fixed minor tidyr 1.0.0 warnings in tests using `nest()`.
 

R/rollify.R

@@ -88,17 +88,21 @@
 #'
 #' data(FB)
 #'
+#' summary2 <- function(x) {
+#'   unclass(summary(x))
+#' }
+#'
 #' # If the function returns >1 value, set the `unlist = FALSE` argument
 #' # Running 5 number summary
-#' summary_roll <- rollify(summary, window = 5, unlist = FALSE)
+#' summary_roll <- rollify(summary2, window = 5, unlist = FALSE)
 #'
 #' FB_summarised <- dplyr::mutate(FB, summary_roll = summary_roll(adjusted))
 #' FB_summarised$summary_roll[[5]]
 #'
 #' # dplyr::bind_rows() is often helpful in these cases to get
 #' # meaningful output
 #'
-#' summary_roll <- rollify(~dplyr::bind_rows(summary(.)), window = 5, unlist = FALSE)
+#' summary_roll <- rollify(~dplyr::bind_rows(summary2(.)), window = 5, unlist = FALSE)
 #' FB_summarised <- dplyr::mutate(FB, summary_roll = summary_roll(adjusted))
 #' FB_summarised %>%
 #'   dplyr::filter(!is.na(summary_roll)) %>%

cran-comments.md

@@ -1,6 +1,6 @@
 ## Release Summary
 
-This is a minor release to fix a bug with dplyr 1.0.0 and `ungroup()`.
+This is an extremely minor release to fix warnings with tidyr 1.0.0 in tests.
 
 ## Test environments
 * local Mac install, R 4.0.0