Corpus Linguistics and Statistics with R by Guillaume Desagulier

Author:Guillaume Desagulier
Language: eng
Format: epub
Publisher: Springer International Publishing, Cham

As you can see, nominal data converted easily into frequency counts . Thanks to the count() function from the plyr package, you can turn a whole table of nominal data into a frequency table in just one line of code. The variables to be summarized should be combined with c() in the vars argument of the count() function.

> library(plyr)

> freq.table <- count(data, vars = c("construction", "intensifier", "text_mode", "text_type"))

> freq.table

construction intensifier text_mode text_type freq

1 PREADJECTIVAL QUITE SPOKEN CONVRSN 2

2 PREADJECTIVAL QUITE WRITTEN ACPROSE 3

3 PREADJECTIVAL QUITE WRITTEN FICTION 4

4 PREADJECTIVAL QUITE WRITTEN NEWS 2

5 PREADJECTIVAL RATHER WRITTEN ACPROSE 21

6 PREADJECTIVAL RATHER WRITTEN FICTION 21

7 PREADJECTIVAL RATHER WRITTEN NEWS 6

8 PREDETERMINER QUITE SPOKEN CONVRSN 52

9 PREDETERMINER QUITE WRITTEN ACPROSE 5

10 PREDETERMINER QUITE WRITTEN FICTION 17

11 PREDETERMINER QUITE WRITTEN NEWS 18

12 PREDETERMINER RATHER SPOKEN CONVRSN 3

13 PREDETERMINER RATHER WRITTEN ACPROSE 2

14 PREDETERMINER RATHER WRITTEN FICTION 5

15 PREDETERMINER RATHER WRITTEN NEWS 2

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