I'm trying to do a summary table with two group variables (am and cyl), so I would have six columns plus the overall, I have the following code:
mtcars2 <- within(mtcars, {
vs <- factor(vs, labels = c("V", "S"))
am <- factor(am, labels = c("Automatic", "Manual"))
cyl <- ordered(cyl)
gear <- ordered(gear)
carb <- ordered(carb)
})
mtcars2 %>%
select(mpg, cyl, disp, hp, drat, wt, qsec, vs, am, gear, carb) %>%
dplyr::mutate(
cyl = paste(cyl, "Cylinder"),
am = factor(am, labels = c("Automatic", "Manual"))
) %>%
tbl_strata(
strata = am, .tbl_fun =
~.x %>%
tbl_summary(
by = cyl,
type = all_continuous() ~ "continuous2",
statistic = list(all_continuous() ~ c("{mean} ({sd})",
"{min}, {max}",
"{skew}"),
all_categorical() ~ "{n} / {N} ({p}%)"),
digits = all_continuous() ~ 1,
label = list(mpg ~ "Miles/ Gallon", disp ~ "Displacement (cu.in.)", hp ~ "Gross Horsepower", drat ~ "Rear Axle Ratio", wt ~ "Weight (1,000 lbs)", qsec ~ "1/4 Mile Time", vs ~ "Engine (Shape)", am ~ "Transmission", gear ~ "No. of Forward Gears", carb ~ "No. of Carburetors")
) %>%
add_overall() %>%
modify_header(label ~ "**Variable**") %>%
modify_spanning_header(c("stat_1", "stat_2", "stat_3") ~ "**Number of Cylinders**") %>%
modify_caption("**Table 1. Descriptive Statistics**") %>%
add_stat_label(label = all_continuous() ~ c("Mean (SD)", "Range", "Skew")) %>%
bold_labels())
But I'm getting the following error:
Error: Problem with `mutate()` column `tbl`.
i `tbl = map(.data$data, .tbl_fun, ...)`.
x Error in `label=` argument input. Select from ‘mpg’, ‘cyl’, ‘disp’, ‘hp’, ‘drat’, ‘wt’, ‘qsec’, ‘vs’, ‘gear’, ‘carb’
Replace the
~
with a=
in thelabel
argument oftbl_summary
: