umx (version 1.7.5)

umx_aggregate: umx_aggregate

Description

R's built-in aggregate function is extremely useful and powerful, allowing xtabs based on a formula. umx_aggregate just tries to make using it a bit easier. In particular, it has some handy base functions that simplify the task of summarising data aggregating over some grouping factor. A common use is preparing summary tables.

Usage

umx_aggregate(formula = DV ~ condition, data = NA, what = c("mean_sd",
  "n"), digits = 2, kable = TRUE)

Arguments

formula

The aggregation formula. e.g., DV ~ condition

data

frame to aggregate

what

function to use. Defaults to a built-in "smart" mean (sd)

digits

for rounding of results

kable

Report as a formatted table? (Default is TRUE)

Value

- table

References

- https://github.com/tbates/umx, https://tbates.github.io

See Also

- umx_apply, aggregate

Other Reporting Functions: loadings.MxModel, umxAPA, umxGetParameters, umxSummary, umx_APA_pval, umx_print, umx_show, umx_time, umx

Examples

# NOT RUN {
aggregate(mpg ~ cyl, FUN = mean, na.rm = TRUE, data = mtcars)
umx_aggregate(mpg ~ cyl, data = mtcars)
umx_aggregate(mpg ~ cyl, data = mtcars, kable = FALSE)
umx_aggregate(cbind(mpg, qsec) ~ cyl, data = mtcars, digits = 3)
t(umx_aggregate(cbind(mpg, qsec) ~ cyl, data = mtcars))
# }
# NOT RUN {
umx_aggregate(cbind(moodAvg, mood) ~ condition, data = study1)
# }