The functions toWide(), toLong(), toCompiled()
toRaw() and toTabular()
converts the data into various formats.
toWide(w)
toLong(w)
toCompiled(w)
toRaw(w)
toTabular(w)An instance of an ANOFA object.
a data frame in the requested format.
The classification of a set of $n$ participants can be
given using many formats. One basic format (called wide herein)
has $n$ lines, one per participants, and category names assigned
to each.
Another format (called compiled herein) is to have a list of all
the categories and the number of participants falling in each
cells. This last format is typically much more compact (if there
are 6 categories, the data are all contained in six lines).
However, we fail to see each individual contributing to the counts.
See the vignette DataFormatsForFrequencies for more.
A third possible format (called raw herein) put one column per
category and 1 is the observation matches this category, 0 otherwise.
This format results in $n$ lines, one participants, and as many
columns are there are categories.
Lastly, a fourth format (called long herein) as, on a line, the
factor name and the category assigned in that factor. If there are
$f$ factors and $n$ participants, the data are in $f*n$ lines.
See the vignette DataFormatsForFrequencies for more.
# The minimalExample contains $n$ of 20 participants categorized according
# to two factors $f = 2$, namely `Intensity` (three levels)
# and Pitch (two levels) for 6 possible cells.
minimalExample
#> Intensity Pitch Frequency
#> 1 Low Soft 2
#> 2 Medium Soft 3
#> 3 High Soft 5
#> 4 Low Hard 4
#> 5 Medium Hard 2
#> 6 High Hard 4
# Lets incorporate the data in an anofa data structure
w <- anofa( Frequency ~ Intensity * Pitch, minimalExample )
# The data presented using various formats looks like
toWide(w)
#> Intensity Pitch
#> 1 Low Soft
#> 2 Low Soft
#> 3 Medium Soft
#> 4 Medium Soft
#> 5 Medium Soft
#> 6 High Soft
#> 7 High Soft
#> 8 High Soft
#> 9 High Soft
#> 10 High Soft
#> 11 Low Hard
#> 12 Low Hard
#> 13 Low Hard
#> 14 Low Hard
#> 15 Medium Hard
#> 16 Medium Hard
#> 17 High Hard
#> 18 High Hard
#> 19 High Hard
#> 20 High Hard
# ... has 20 lines ($n$) and 2 columns ($f$)
toLong(w)
#> Id Factor Level
#> 1 1 Intensity Low
#> 2 1 Pitch Soft
#> 3 2 Intensity Low
#> 4 2 Pitch Soft
#> 5 3 Intensity Medium
#> 6 3 Pitch Soft
#> 7 4 Intensity Medium
#> 8 4 Pitch Soft
#> 9 5 Intensity Medium
#> 10 5 Pitch Soft
#> 11 6 Intensity High
#> 12 6 Pitch Soft
#> 13 7 Intensity High
#> 14 7 Pitch Soft
#> 15 8 Intensity High
#> 16 8 Pitch Soft
#> 17 9 Intensity High
#> 18 9 Pitch Soft
#> 19 10 Intensity High
#> 20 10 Pitch Soft
#> 21 11 Intensity Low
#> 22 11 Pitch Hard
#> 23 12 Intensity Low
#> 24 12 Pitch Hard
#> 25 13 Intensity Low
#> 26 13 Pitch Hard
#> 27 14 Intensity Low
#> 28 14 Pitch Hard
#> 29 15 Intensity Medium
#> 30 15 Pitch Hard
#> 31 16 Intensity Medium
#> 32 16 Pitch Hard
#> 33 17 Intensity High
#> 34 17 Pitch Hard
#> 35 18 Intensity High
#> 36 18 Pitch Hard
#> 37 19 Intensity High
#> 38 19 Pitch Hard
#> 39 20 Intensity High
#> 40 20 Pitch Hard
# ... has 40 lines ($n \times f$) and 3 columns (participant's `Id`, `Factor` name and `Level`)
toRaw(w)
#> Low Medium High Soft Hard
#> 1 1 0 0 1 0
#> 2 1 0 0 1 0
#> 3 0 1 0 1 0
#> 4 0 1 0 1 0
#> 5 0 1 0 1 0
#> 6 0 0 1 1 0
#> 7 0 0 1 1 0
#> 8 0 0 1 1 0
#> 9 0 0 1 1 0
#> 10 0 0 1 1 0
#> 11 1 0 0 0 1
#> 12 1 0 0 0 1
#> 13 1 0 0 0 1
#> 14 1 0 0 0 1
#> 15 0 1 0 0 1
#> 16 0 1 0 0 1
#> 17 0 0 1 0 1
#> 18 0 0 1 0 1
#> 19 0 0 1 0 1
#> 20 0 0 1 0 1
# ... has 20 lines ($n$) and 5 columns ($2+3$)
toCompiled(w)
#> Intensity Pitch Frequency
#> 1 Low Soft 2
#> 2 Medium Soft 3
#> 3 High Soft 5
#> 4 Low Hard 4
#> 5 Medium Hard 2
#> 6 High Hard 4
# ... has 6 lines ($2 \times 3$) and 3 columns ($f$ + 1)
toTabular(w)
#> Pitch
#> Intensity Soft Hard
#> Low 2 4
#> Medium 3 2
#> High 5 4
# ... has one table with $2 \times 3$ cells. If there had been
# more than two factors, the additional factor(s) would be on distinct layers.