full_summary: Full summarisation of a data frame
In TommiKarki/EpiMethods: Epicurver and misc helper functions

Description Usage Arguments Author(s) Examples

View source: R/full_summary.R

A helper function to provide full summaries/tables of a data frame, summarises mean, median and quantiles for numerical/date vectors and tables for character/categorical vectors. To be prettified.

1	full_summary(data, useNA = "always", table_max_cat = 5)

`data`	Your data frame.
`useNA`	whether to include NA values in the tables, defaults to "always". Use "no" to hide NA's and "ifany" to show only if there are any.
`table_max_cat`	Defines how large tables (dimensions) are shown, defaults to max 5 categories. For vectors with more than given categories shows number of unique values and number of missing records.

Tommi Karki

mydat <- data.frame(ID = c(seq(1,10,1)),
Gender = c(rep(c("F", "M"),5)),
AgeGroup = c(rep(c("0-18", "18-65", "65+"),3), "65+"),
Case = c(1,1,1,0,0,1,1,1,1,1),
DateOfOnset = as.Date(c("2017-06-11", "2017-06-11", 
                       "2017-06-11", NA, NA, "2017-06-10", 
                       "2017-06-14", "2017-06-14",
                       "2017-06-19", "2017-06-19")),
Month = c(sample(c(3:6),5, replace = TRUE), sample(c(1:12),5)),
Week = c(sample(c(10:12),5, replace = TRUE), sample(c(1:53),5)))

# Summaries/tables of all variables
full_summary(mydat)