fp_insert_row {forestplot} | R Documentation |
These functions are used for inserting or appending a row into a forestplot object. Can be used for inputting multiple rows. Just make sure that all elements are of equal length.
fp_insert_row( x, ..., mean = NULL, lower = NULL, upper = NULL, position = 1, is.summary = FALSE, boxsize = NA ) fp_add_header(x, ..., position = 1, is.summary = TRUE) fp_append_row(x, ..., position = "last", is.summary = FALSE)
x |
The forestplot object |
... |
Either named arguments that correspond to the original column names or unnamed arguments that will map in appearing order. |
mean |
Either a mean or all the values if three columns (mean, lower, upper) |
lower |
A vector or matrix with the lower confidence interval |
upper |
A vector or matrix with the upper confidence interval |
position |
The row position to input at. Either a row number or "last". |
is.summary |
Whether the row is a summary. |
boxsize |
The box size for the drawn estimate line |
The foresplot object with the added rows
Other graph modifiers:
fp_add_lines()
,
fp_decorate_graph()
,
fp_set_style()
,
fp_set_zebra_style()
Other forestplot functions:
forestplot()
,
fpColors()
,
fpDrawNormalCI()
,
fpLegend()
,
fpShapesGp()
,
fp_add_lines()
,
fp_decorate_graph()
,
fp_set_style()
,
fp_set_zebra_style()
base_data <- tibble::tibble(mean = c(0.578, 0.165, 0.246, 0.700, 0.348, 0.139, 1.017), lower = c(0.372, 0.018, 0.072, 0.333, 0.083, 0.016, 0.365), upper = c(0.898, 1.517, 0.833, 1.474, 1.455, 1.209, 2.831), study = c("Auckland", "Block", "Doran", "Gamsu", "Morrison", "Papageorgiou", "Tauesch"), deaths_steroid = c("36", "1", "4", "14", "3", "1", "8"), deaths_placebo = c("60", "5", "11", "20", "7", "7", "10"), OR = c("0.58", "0.16", "0.25", "0.70", "0.35", "0.14", "1.02")) base_data |> forestplot(labeltext = c(study, deaths_steroid, deaths_placebo, OR), clip = c(0.1, 2.5), xlog = TRUE) |> fp_add_header(study = c("", "Study"), deaths_steroid = c("Deaths", "(steroid)"), deaths_placebo = c("Deaths", "(placebo)"), OR = c("", "OR")) |> fp_append_row(mean = 0.531, lower = 0.386, upper = 0.731, study = "Summary", OR = "0.53", is.summary = TRUE)