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rtables (version 0.4.0)

summarize_row_groups: Add a content row of summary counts

Description

Add a content row of summary counts

Usage

summarize_row_groups(
  lyt,
  var = "",
  label_fstr = "%s",
  format = "xx (xx.x%)",
  cfun = NULL,
  indent_mod = 0L,
  extra_args = list()
)

Arguments

lyt

layout object pre-data used for tabulation

var

string, variable name

label_fstr

string. An sprintf style format string containing. For non-comparison splits, it can contain up to one "%s" which takes the current split value and generates the row/column label. Comparison-based splits it can contain up to two "%s".

format

FormatSpec. Format associated with this split. Formats can be declared via strings ("xx.x") or function. In cases such as analyze calls, they can character vectors or lists of functions.

cfun

list/function/NULL. tabulation function(s) for creating content rows. Must accept x or df as first parameter. Must accept labelstr as the second argument. Can optionally accept all optional arguments accepted by analysis functions. See analyze.

indent_mod

numeric. Modifier for the default indent position for the structure created by this function(subtable, content table, or row) and all of that structure's children. Defaults to 0, which corresponds to the unmodified default behavior.

extra_args

list. Extra arguments to be passed to the tabulation function. Element position in thte list corresponds to the children of this split. Named elements in the child-specific lists are ignored if they do not match a formal argument of the ttabulation function.

Value

A PreDataTableLayouts object suitable for passing to further layouting functions, and to build_table.

Details

If format expects 2 values (i.e. xx appears twice in the format string, then both raw and percent of column total counts are calculated. Otherwise only raw counts are used.

cfun must accept df as its first argument and will receive the subset data.frame corresponding with the row- and column-splitting for the cell being calculated. Must accept labelstr as the second parameter, which accepts the label of the level of the parent split currently being summarized. Can additionally take any optional argument supported by analysis functions. (see analyze).

Examples

Run this code
# NOT RUN {
DM2 <- subset(DM, COUNTRY %in% c("USA", "CAN", "CHN"))

l <- basic_table() %>% split_cols_by("ARM") %>%
    split_rows_by("COUNTRY", split_fun = drop_split_levels) %>%
    summarize_row_groups(label_fstr = "%s (n)") %>%
    analyze("AGE", afun = list_wrap_x(summary) , format = "xx.xx")
l

tbl <- build_table(l, DM2)

tbl

row_paths_summary(tbl) # summary count is a content table


## use a cfun and extra_args to customize summarization
## behavior
sfun <- function(x, labelstr, trim) {
    in_rows(
        c(mean(x, trim = trim), trim),
        .formats = "xx.x (xx.x%)",
        .labels = sprintf("%s (Trimmed mean and trim %%)",
                              labelstr)
    )
}

l2 <- basic_table() %>% split_cols_by("ARM") %>%
    split_rows_by("COUNTRY", split_fun = drop_split_levels) %>%
    add_colcounts() %>%
    summarize_row_groups("AGE", cfun = sfun,
                         extra_args = list(trim = .2)) %>%
    analyze("AGE", afun = list_wrap_x(summary) , format = "xx.xx") %>%
    append_topleft(c("Country", "  Age"))

tbl2 <- build_table(l2, DM2)
tbl2

# }

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