Description Usage Arguments Value Author(s) Examples
Count all combinations between the values of column1 and column2 and return a data frame with the combination of the items and the respecting frequencies.
1 | freq.of.all.combinations.df(column1, column2, data.df, order = 0, removeNA = TRUE)
|
column1 |
The name of the first column |
column2 |
The name of the second column |
data.df |
The data frame containing the columns column1, column2 |
order |
0 (default): no order, 1: descenting frequancy order, 2: ascenting wordcode order, 3: ascenting word order. |
removeNA |
Should remove any NA values or count them in their combination? Default is TRUE (remove NA). |
A data frame containing the frequencies of all pairs of values between column1 and column2. It counts all pair occurences independent of position, thus the pairs of (column1, column2): (a, b), (a, b), (b, a) will result to the entry in freq.of.all.combinations.df of (word1 = a, word2 = b, freq = 3).
Epaminondas Diamantopoulos
1 2 3 4 5 6 7 8 9 10 11 | # It is a time consuming function...
# Thus, for illustrative purposes, an example is provided in a small
# random subset of the original data...
freeassociationdata_part = dplyr::sample_n(freeassociationdata, 10)
df.with.frequencies = freq.of.all.combinations.df("diet1stword", "diet2ndword",
freeassociationdata_part)
head(df.with.frequencies)
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