rdesc | R Documentation |
Robust Descriptives
rdesc( data, vars, splitBy = NULL, mean = TRUE, trim = TRUE, tr = 0.2, win = FALSE, wl = 0.2, mest = FALSE, bend = 1.28, med = FALSE )
data |
the data as a data frame |
vars |
a vector of strings naming the variables in |
splitBy |
a string naming the variable in |
mean |
|
trim |
|
tr |
a number between 0 and 0.5 (default: 0.2); the proportion of measurements to trim from each end when producing trimmed means |
win |
|
wl |
a number between 0 and 0.5 (default: 0.2); the level of 'winsorizing' when producing winsorized means |
mest |
|
bend |
a number (default: 1.28), the bending constant to use when using M-estimators |
med |
|
A results object containing:
results$table | the table of descriptives | ||||
Tables can be converted to data frames with asDF
or as.data.frame
. For example:
results$table$asDF
as.data.frame(results$table)
data('eurosoccer', package='WRS2') SpainGermany <- subset(eurosoccer, eurosoccer$League == 'Spain' | eurosoccer$League == 'Germany') SpainGermany <- droplevels(SpainGermany) walrus::rdesc( data = SpainGermany, vars = "GoalsGame", splitBy = "League", med = TRUE) # # ROBUST DESCRIPTIVES # # Robust Descriptives # ---------------------------------------------------------- # SE # ---------------------------------------------------------- # GoalsGame Germany Mean 1.46 0.105 # Trimmed mean 1.45 0.1341 # Median 1.43 0.1599 # # Spain Mean 1.45 0.101 # Trimmed mean 1.33 0.0601 # Median 1.30 0.0766 # ---------------------------------------------------------- #
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.