Standardize within a subgroup and then within a group.
multiscale(numeric.var, grouping.var, original_order = TRUE, digits = 2)
A numeric variable.
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.
logical. IF TRUE
orders by the original order.
If FALSE
orders by group.
Integer; number of decimal places to round.
Returns a list of two:
A dataframe of scaled observations at level one and two of the nesting with possible outliers.
A data frame of descriptives by group.
# NOT RUN {
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)
# }
Run the code above in your browser using DataLab