ianmcook commented on a change in pull request #10327:
URL: https://github.com/apache/arrow/pull/10327#discussion_r636614537
##########
File path: r/R/dplyr-functions.R
##########
@@ -109,6 +109,39 @@ nse_funcs$as.numeric <- function(x) {
Expression$create("cast", x, options = cast_options(to_type = float64()))
}
+# is.* type functions
+nse_funcs$is.character <- function(x) {
+ x$type_id() %in% Type[c("STRING", "LARGE_STRING")]
+}
+
+nse_funcs$is.numeric <- function(x) {
+ x$type_id() %in% c(2:12, 23:24)
+}
+
+nse_funcs$is.double <- function(x) {
+ x$type_id() %in% Type["DOUBLE"]
+}
+
+nse_funcs$is.integer <- function(x) {
+ x$type_id() %in% c(2:9)
+}
+
+nse_funcs$is.integer64 <- function(x) {
+ x$type_id() %in% Type[c("UINT64", "INT64")]
+}
+
+nse_funcs$is.logical <- function(x) {
+ x$type_id() %in% Type["BOOL"]
+}
+
+nse_funcs$is.factor <- function(x) {
+ x$type_id() == Type["DICTIONARY"]
+}
+
+nse_funcs$is.list <- function(x) {
+ x$type_id() %in% Type[c("LIST", "FIXED_SIZE_LIST", "LARGE_LIST")]
+}
+
Review comment:
I implemented `is()` and the `rlang::is_*()` variants.
Implementing translations for the various date and time functions will
require a lot more thought and planning. I think that's best done separately,
in ARROW-12844. I noted that there that we should implement the date and time
`is` and `as` functions.
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