Nothing
## ----setup, include=FALSE-----------------------------------------------------
knitr::opts_chunk$set(echo = TRUE)
## ---- echo=FALSE--------------------------------------------------------------
knitr::opts_chunk$set(comment = "#")
## ---- message=FALSE-----------------------------------------------------------
library(dplyr)
library(tibble)
library(rtables)
## -----------------------------------------------------------------------------
add_subgroup <- function(x) paste0(tolower(x), sample(1:3, length(x), TRUE))
set.seed(1)
df <- tibble(
x = rnorm(100),
c1 = factor(sample(c("A", "B", "C"), 100, replace = TRUE), levels = c("A", "B", "C")),
r1 = factor(sample(c("U", "V", "W"), 100, replace = TRUE), levels = c("U", "V", "W"))
) %>%
mutate(
c2 = add_subgroup(c1),
r2 = add_subgroup(r1),
y = as.numeric(2 * as.numeric(c1) - 3 * as.numeric(r1))
) %>%
select(c1, c2, r1, r2, x, y)
df
## -----------------------------------------------------------------------------
df_A <- df %>% filter(c1 == "A")
df_B <- df %>% filter(c1 == "B")
df_C <- df %>% filter(c1 == "C")
## -----------------------------------------------------------------------------
foo <- prod
bar <- sum
zoo <- mean
lyt <- basic_table() %>%
split_cols_by("c1") %>%
analyze("x", function(df) foo(df$x), var_labels = "foo label", format = "xx.xx") %>%
analyze("x", function(df) bar(df$x), var_labels = "bar label", format = "xx.xx") %>%
analyze("x", function(df) zoo(df$x), var_labels = "zoo label", format = "xx.xx")
tbl <- build_table(lyt, df)
tbl
## -----------------------------------------------------------------------------
x_A <- df_A$x
x_B <- df_B$x
x_C <- df_C$x
## -----------------------------------------------------------------------------
lyt2 <- basic_table() %>%
split_cols_by("c1") %>%
analyze("x", foo, var_labels = "foo label", format = "xx.xx") %>%
analyze("x", bar, var_labels = "bar label", format = "xx.xx") %>%
analyze("x", zoo, var_labels = "zoo label", format = "xx.xx")
tbl2 <- build_table(lyt2, df)
tbl2
## -----------------------------------------------------------------------------
lyt3 <- basic_table() %>%
split_cols_by("c1") %>%
analyze("x", function(x) {
in_rows(
"row 1" = rcell(mean(x), format = "xx.xx"),
"row 2" = rcell(sd(x), format = "xx.xxx")
)
}, var_labels = "foo label") %>%
analyze("x", function(x) {
in_rows(
"more rows 1" = rcell(median(x), format = "xx.x"),
"even more rows 1" = rcell(IQR(x), format = "xx.xx")
)
}, var_labels = "bar label", format = "xx.xx")
tbl3 <- build_table(lyt3, df)
tbl3
## -----------------------------------------------------------------------------
df_UA <- df %>% filter(r1 == "U", c1 == "A")
df_VA <- df %>% filter(r1 == "V", c1 == "A")
df_WA <- df %>% filter(r1 == "W", c1 == "A")
df_UB <- df %>% filter(r1 == "U", c1 == "B")
df_VB <- df %>% filter(r1 == "V", c1 == "B")
df_WB <- df %>% filter(r1 == "W", c1 == "C")
df_UC <- df %>% filter(r1 == "U", c1 == "C")
df_VC <- df %>% filter(r1 == "V", c1 == "C")
df_WC <- df %>% filter(r1 == "W", c1 == "C")
## -----------------------------------------------------------------------------
foo <- function(df, labelstr = "", ...) {
paste(dim(df), collapse = " x ")
}
## -----------------------------------------------------------------------------
foo(df_UA)
foo(df_VA)
foo(df_WA)
foo(df_UB)
foo(df_VB)
foo(df_WB)
foo(df_UC)
foo(df_VC)
foo(df_WC)
## -----------------------------------------------------------------------------
matrix(
list(
foo(df_UA),
foo(df_VA),
foo(df_WA),
foo(df_UB),
foo(df_VB),
foo(df_WB),
foo(df_UC),
foo(df_VC),
foo(df_WC)
),
byrow = FALSE, ncol = 3
)
## -----------------------------------------------------------------------------
lyt4 <- basic_table() %>%
split_cols_by("c1") %>%
split_rows_by("r1") %>%
analyze("x", foo)
tbl4 <- build_table(lyt4, df)
tbl4
## -----------------------------------------------------------------------------
lyt5 <- basic_table() %>%
split_cols_by("c1") %>%
split_rows_by("r1") %>%
summarize_row_groups(cfun = foo, format = "xx")
tbl5 <- build_table(lyt5, df)
tbl5
## -----------------------------------------------------------------------------
foo <- function(df, labelstr) {
rcell(paste(dim(df), collapse = " x "), format = "xx", label = labelstr)
}
lyt6 <- basic_table() %>%
split_cols_by("c1") %>%
split_rows_by("r1") %>%
summarize_row_groups(cfun = foo)
tbl6 <- build_table(lyt6, df)
tbl6
## -----------------------------------------------------------------------------
foo <- function(df, labelstr) {
rcell(mean(df$y), label = labelstr, format = "xx.xx")
}
lyt7 <- basic_table() %>%
split_cols_by("c1") %>%
split_rows_by("r1") %>%
summarize_row_groups(cfun = foo)
tbl7 <- build_table(lyt7, df)
tbl7
## -----------------------------------------------------------------------------
lyt8 <- basic_table() %>%
split_cols_by("c1") %>%
split_rows_by("r1") %>%
analyze("y", afun = mean)
tbl8 <- build_table(lyt8, df)
tbl8
## -----------------------------------------------------------------------------
lyt9 <- basic_table() %>%
split_cols_by("c1") %>%
split_rows_by("r1") %>%
analyze("y", afun = function(df) mean(df$y))
tbl9 <- build_table(lyt9, df)
tbl9
## -----------------------------------------------------------------------------
lyt10 <- basic_table() %>%
split_cols_by("c1") %>%
split_rows_by("r1") %>%
analyze("y", afun = function(x) mean(x))
tbl10 <- build_table(lyt10, df)
tbl10
## -----------------------------------------------------------------------------
df %>%
filter(r1 == "U", r2 == "u1", c1 == "A")
## -----------------------------------------------------------------------------
lyt11 <- basic_table() %>%
split_cols_by("c1") %>%
split_rows_by("r1") %>%
split_rows_by("r2") %>%
summarize_row_groups(cfun = function(df, labelstr) {
rcell(mean(df$x), format = "xx.xx", label = paste("mean x for", labelstr))
})
tbl11 <- build_table(lyt11, df)
tbl11
## -----------------------------------------------------------------------------
s_mean_sd <- function(x) {
in_rows("mean (sd)" = rcell(c(mean(x), sd(x)), format = "xx.xx (xx.xx)"))
}
s_range <- function(x) {
in_rows("range" = rcell(range(x), format = "xx.xx - xx.xx"))
}
lyt12 <- basic_table() %>%
split_cols_by("c1") %>%
split_rows_by("r1") %>%
split_rows_by("r2") %>%
analyze("x", s_mean_sd, show_labels = "hidden") %>%
analyze("x", s_range, show_labels = "hidden")
tbl12 <- build_table(lyt12, df)
tbl12
## -----------------------------------------------------------------------------
s_mean_sd <- function(x) {
in_rows("mean (sd)" = rcell(c(mean(x), sd(x)), format = "xx.xx (xx.xx)"))
}
s_range <- function(x) {
in_rows("range" = rcell(range(x), format = "xx.xx - xx.xx"))
}
s_cfun_2 <- function(df, labelstr) {
rcell(nrow(df), format = "xx", label = paste(labelstr, "(n)"))
}
lyt13 <- basic_table() %>%
split_cols_by("c1") %>%
split_rows_by("r1") %>%
split_rows_by("r2") %>%
summarize_row_groups(cfun = s_cfun_2) %>%
analyze("x", s_mean_sd, show_labels = "hidden") %>%
analyze("x", s_range, show_labels = "hidden")
tbl13 <- build_table(lyt13, df)
tbl13
## -----------------------------------------------------------------------------
lyt14 <- basic_table() %>%
split_cols_by("c1") %>%
split_rows_by("r1") %>%
summarize_row_groups(cfun = s_cfun_2) %>%
split_rows_by("r2") %>%
summarize_row_groups(cfun = s_cfun_2) %>%
analyze("x", s_mean_sd, show_labels = "hidden") %>%
analyze("x", s_range, show_labels = "hidden")
tbl14 <- build_table(lyt14, df)
tbl14
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