qdap 2.2.0

Nested Standardization

Usage

multiscale(numeric.var, grouping.var, original_order = TRUE, digits = 2)

Arguments

numeric.var
A numeric variable.
grouping.var
The grouping variables. Default NULL generates one word list for all text. Also takes a single grouping variable or a list of 1 or more grouping variables.
original_order
logical. IF TRUE orders by the original order. If FALSE orders by group.
digits
Integer; number of decimal places to round.

Nested Standardization

Value

Returns a list of two: SCALED_OBSERVATIONSA dataframe of scaled observations at level one and two of the nesting with possible outliers. DESCRIPTIVES_BY_GROUPA data frame of descriptives by group.

Description

Standardize within a subgroup and then within a group.

Examples

## <strong>Not run</strong>: 
# dat <- with(mraja1spl, word_stats(dialogue, list(person, sex, fam.aff)))
# htruncdf(colsplit2df(dat$ts), ,4)
# out1 <- with(colsplit2df(dat$ts), multiscale(word.count, person))
# ltruncdf(out1, 10)
# out2 <- with(colsplit2df(dat$ts), multiscale(word.count,
#     list(fam.aff, sex)))
# ltruncdf(out2, 10)
# out3 <- with(colsplit2df(dat$ts), multiscale(word.count,
#     list(fam.aff, sex), original_order = FALSE))
# ltruncdf(out3, 10)
# ## <strong>End(Not run)</strong>

See also

scale