Currently supported cell value alignments. These values
may be used to set content alignment (align in rcell() or .aligns
in in_rows()).
Examples
# See the alignments available in rtables
rtables_aligns()
#> [1] "left" "right" "center"
# Right alignment with align in rcell()
lyt <- basic_table() %>%
analyze("Species", function(x) in_rows(left = rcell("r", align = "right")))
tbl <- build_table(lyt, iris)
tbl
#> all obs
#> ——————————————
#> left r
# Set multiple alignments using character vectors with .aligns in in_rows()
lyt2 <- basic_table() %>%
analyze("Species", function(x) {
in_rows(
left = rcell("l"),
right = rcell("r"),
.aligns = c("left", "right")
)
})
tbl2 <- build_table(lyt2, iris)
tbl2
#> all obs
#> ———————————————
#> left l
#> right r
# Clinical data example:
lyt3 <- basic_table() %>%
split_cols_by("ARM") %>%
split_rows_by("SEX", split_fun = drop_split_levels) %>%
analyze(c("AGE"), function(x) {
in_rows(
"mean" = rcell(mean(x), align = "right"),
"sd" = rcell(sd(x), align = "left"), .formats = c("xx.x")
)
}, show_labels = "visible", na_str = "NE")
tbl3 <- build_table(lyt3, ex_adsl)
tbl3
#> A: Drug X B: Placebo C: Combination
#> ——————————————————————————————————————————————————————————
#> F
#> AGE
#> mean 32.8 34.1 35.2
#> sd 6.1 7.1 7.4
#> M
#> AGE
#> mean 35.6 37.4 35.4
#> sd 7.1 8.7 8.2
#> U
#> AGE
#> mean 31.7 31.0 35.2
#> sd 3.2 5.7 3.1
#> UNDIFFERENTIATED
#> AGE
#> mean 28.0 NE 45.0
#> sd NE NE 1.4