suggested_dependent_pkgs <- c("dplyr", "tibble") knitr::opts_chunk$set( collapse = TRUE, comment = "#>", eval = all(vapply( suggested_dependent_pkgs, requireNamespace, logical(1), quietly = TRUE )) )
knitr::opts_chunk$set(comment = "#") suppressPackageStartupMessages(library(rtables)) suppressPackageStartupMessages(library(dplyr))
```{css, echo=FALSE} .reveal .r code { white-space: pre; }
# Titles and Non-Referential Footer Materials An `rtables` table can be annotated with three types of header (title) information, as well as three types of footer information. Header information comes in two forms that are specified directly (main title and subtitles), as well as one that is populated automatically as necessary (page title, which we will see in the next section). Similarly, footer materials come with two directly specified components: main footer and provenance footer, in addition to one that is computed when necessary: referential footnotes. `basic_table()` accepts the values for each static title and footer element during layout construction: ```r library(rtables) library(dplyr) lyt <- basic_table( title = "Study XXXXXXXX", subtitles = c("subtitle YYYYYYYYYY", "subtitle2 ZZZZZZZZZ"), main_footer = "Analysis was done using cool methods that are correct", prov_footer = "file: /path/to/stuff/that/lives/there HASH:1ac41b242a" ) %>% split_cols_by("ARM") %>% split_rows_by("SEX", split_fun = drop_split_levels) %>% split_rows_by("STRATA1") %>% analyze("AGE", mean, format = "xx.x") tbl <- build_table(lyt, DM) cat(export_as_txt(tbl, paginate = TRUE, page_break = "\n\n\n"))
We often want to split tables based on the values of one or more
variables (e.g., lab measurement) and then paginate separately within
each of those table subsections. In rtables
we do this via page
by row splits.
Row splits can be declared page by splits by setting page_by = TRUE
in the split_rows_by*()
call, as below.
When page by splits are present, page titles are generated
automatically by appending the split value (typically a factor level,
though it need not be), to the page_prefix
, separated by a :
. By
default, page_prefix
is name of the variable being split.
lyt2 <- basic_table( title = "Study XXXXXXXX", subtitles = c("subtitle YYYYYYYYYY", "subtitle2 ZZZZZZZZZ"), main_footer = "Analysis was done using cool methods that are correct", prov_footer = "file: /path/to/stuff/that/lives/there HASH:1ac41b242a" ) %>% split_cols_by("ARM") %>% split_rows_by("SEX", page_by = TRUE, page_prefix = "Patient Subset - Gender", split_fun = drop_split_levels) %>% split_rows_by("STRATA1") %>% analyze("AGE", mean, format = "xx.x") tbl2 <- build_table(lyt2, DM) cat(export_as_txt(tbl2, paginate = TRUE, page_break = "\n\n~~~~ Page Break ~~~~\n\n"))
Page by row splits can be nested, but only within other page_by splits, they cannot be nested within traditional row splits. In this case, a page title for each page by split will be present on every resulting page, as seen below:
lyt3 <- basic_table( title = "Study XXXXXXXX", subtitles = c("subtitle YYYYYYYYYY", "subtitle2 ZZZZZZZZZ"), main_footer = "Analysis was done using cool methods that are correct", prov_footer = "file: /path/to/stuff/that/lives/there HASH:1ac41b242a" ) %>% split_cols_by("ARM") %>% split_rows_by("SEX", page_by = TRUE, page_prefix = "Patient Subset - Gender", split_fun = drop_split_levels) %>% split_rows_by("STRATA1", page_by = TRUE, page_prefix = "Stratification - Strata") %>% analyze("AGE", mean, format = "xx.x") tbl3 <- build_table(lyt3, DM) cat(export_as_txt(tbl3, paginate = TRUE, page_break = "\n\n~~~~ Page Break ~~~~\n\n"))
Referential footnotes are footnotes associated with a particular component of a table: a column, a row, or a cell. They can be added during tabulation via analysis functions, but they can also be added post-hoc once a table is created.
They are rendered as a number within curly braces within the table body, row, or column labels, followed by a message associated with that number printed below the table during rendering.
afun <- function(df, .var, .spl_context) { val <- .spl_context$value[NROW(.spl_context)] rw_fnotes <- if (val == "C") list("This is strata level C for these patients") else list() cl_fnotes <- if (val == "B" && df[1, "ARM", drop = TRUE] == "C: Combination") { list("these Strata B patients got the drug combination") } else { list() } in_rows( mean = mean(df[[.var]]), .row_footnotes = rw_fnotes, .cell_footnotes = cl_fnotes, .formats = c(mean = "xx.x") ) } lyt <- basic_table( title = "Study XXXXXXXX", subtitles = c("subtitle YYYYYYYYYY", "subtitle2 ZZZZZZZZZ"), main_footer = "Analysis was done using cool methods that are correct", prov_footer = "file: /path/to/stuff/that/lives/there HASH:1ac41b242a" ) %>% split_cols_by("ARM") %>% split_rows_by("SEX", page_by = TRUE, page_prefix = "Patient Subset - Gender", split_fun = drop_split_levels) %>% split_rows_by("STRATA1") %>% analyze("AGE", afun, format = "xx.x") tbl <- build_table(lyt, DM) cat(export_as_txt(tbl, paginate = TRUE, page_break = "\n\n\n"))
We note that typically the type of footnote added within the analysis function would be dependent on the computations done to calculate the cell value(s), e.g., a model not converging. We simply use context information as an illustrative proxy for that.
The procedure for adding footnotes to content (summary row) rows or cells is identical to the above, when done within a content function.
In addition to inserting referential footnotes at tabulation time within our analysis functions, we can also annotate our tables with them post-hoc.
This is also the only way to add footnotes to column labels, as those cannot be controlled within an analysis or content function.
## from ?tolower example slightly modified .simpleCap <- function(x) { if (length(x) > 1) { return(sapply(x, .simpleCap)) } s <- strsplit(tolower(x), " ")[[1]] paste(toupper(substring(s, 1, 1)), substring(s, 2), sep = "", collapse = " ") } adsl2 <- ex_adsl %>% filter(SEX %in% c("M", "F") & RACE %in% (levels(RACE)[1:3])) %>% ## we trim the level names here solely due to space considerations mutate(ethnicity = .simpleCap(gsub("(.*)OR.*", "\\1", RACE)), RACE = factor(RACE)) lyt2 <- basic_table() %>% split_cols_by("ARM") %>% split_cols_by("SEX", split_fun = drop_split_levels) %>% split_rows_by("RACE", labels_var = "ethnicity", split_fun = drop_split_levels) %>% summarize_row_groups() %>% analyze(c("AGE", "STRATA1")) tbl2 <- build_table(lyt2, adsl2) tbl2
We do this with the fnotes_at_path<-
function which accepts a row
path, a column path, and a value for the full set of footnotes for the
defined locations (NULL
or a character
vector).
A non-NULL
row path with a NULL
column path specifies the
footnote(s) should be attached to the row, while NULL
row path with
non-NULL
column path indicates they go with the column. Both being
non-NULL
indicates a cell (and must resolve to an individual cell).
fnotes_at_path(tbl2, c("RACE", "ASIAN")) <- c("hi", "there") tbl2
fnotes_at_path(tbl2, rowpath = NULL, c("ARM", "B: Placebo")) <- c("this is a placebo") tbl2
Note to step into a content row we must add that to the path, even though we didn't need it to put a footnote on the full row.
Currently, content rows by default are named with the label rather
than name of the corresponding facet. This is reflected in the
output of, e.g., row_paths_summary
.
row_paths_summary(tbl2)
So we can add our footnotes to the cell like so:
fnotes_at_path( tbl2, rowpath = c("RACE", "ASIAN", "@content", "Asian"), colpath = c("ARM", "B: Placebo", "SEX", "F") ) <- "These asian women got placebo treatments" tbl2
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.