long_to_wide_converter {statsExpressions} | R Documentation |
NA
s removedThis conversion is helpful mostly for repeated measures design, where
removing NA
s by participant can be a bit tedious.
It does not make sense to spread the data frame to wide format when the
measure is not repeated, so if paired = TRUE
, spread
argument will be
ignored.
long_to_wide_converter( data, x, y, subject.id = NULL, paired = TRUE, spread = TRUE, ... )
data |
A data frame (or a tibble) from which variables specified are to
be taken. Other data types (e.g., matrix,table, array, etc.) will not
be accepted. Additionally, grouped data frames from |
x |
The grouping (or independent) variable from |
y |
The response (or outcome or dependent) variable from |
subject.id |
Relevant in case of a repeated measures or within-subjects
design ( |
paired |
Logical that decides whether the experimental design is
repeated measures/within-subjects or between-subjects. The default is
|
spread |
Logical that decides whether the data frame needs to be
converted from long/tidy to wide (default: |
... |
Currently ignored. |
A data frame with NA
s removed while respecting the
between-or-within-subjects nature of the dataset.
# for reproducibility library(statsExpressions) set.seed(123) # repeated measures design long_to_wide_converter( data = bugs_long, x = condition, y = desire, subject.id = subject, paired = TRUE ) # independent measures design long_to_wide_converter( data = mtcars, x = cyl, y = wt, paired = FALSE )