Package 'radlibs'

A list of English words with the "humor ratings" attached.

Description

A dataset compiled by Tomas Englethaler for his research on humor. https://github.com/tomasengelthaler/HumorNorms Please visit his page for more details on the methodology used to score words.

Usage

data(humor_dataset)

Format

A data frame with 4997 rows and 16 variables:

word

string of the actual word

mean

mean of humor rating across all audiences

mean_F

mean of humor rating (women)

mean_M

mean of humor rating (men)

mean_old

mean of humor rating (old)

mean_young

mean of humor rating (young)

n

audience size

n_F

audience size (women)

n_M

audience size (men)

n_old

audience size (old)

n_young

audience size (young)

sd

sd of humor rating across all audiences

sd_F

sd humor rating (women)

sd_M

sd of humor rating (men)

sd_old

sd humor rating (old)

sd_young

sd of humor rating (young)

Source

https://github.com/tomasengelthaler/HumorNorms

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makeRadlibs

Description

makeRadlibs

Usage

makeRadlibs(phrase, wordset = NA)

Arguments

phrase	String including any number of the words noun, verb, adjective, adverb, plural, or interjection enclosed in curly braces
wordset	Data table of your choosing with columns "word" and "pos" at the minimum. Preferably all lowercase.

Value

New string replacing the keywords with alternatives. Hopefully funny.

Examples

## Not run: makeRadlibs("not sure if i should {verb} or {verb} because it's an {adjective} {noun}")

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POSTagger

Description

POSTagger

Usage

POSTagger(wordDF)

Arguments

wordDF

Dataframe including one column labeled "word" for tagging

Value

Original dataframe including part of speech columns.

Examples

## Not run: newwords <- data.frame(word = c("cat", "green", "slowly"))
POSTagger(newwords)
## End(Not run)

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A list of English proper nouns with the classifications.

Description

A dataset derived from https://www.kaggle.com/vered1986/propernames-categories/version/1. The words are British focused, and I have adjusted some classifications to be easier for users to work with.

Usage

data(proper_nouns)

Format

A data frame with 747 rows and 2 variables:

word

string of the actual word

pos

part of speech (aka celebrity, place, etc)

Source

https://www.kaggle.com/vered1986/propernames-categories/version/1

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