lexops: LexOPS' inbuilt variables
In JackEdTaylor/LexOPS: A Package and Shiny App for Generating Matched Stimuli
lexops R Documentation
LexOPS' inbuilt variables
Description
A data frame containing 68 variables. When used in a generate pipeline, variables used from this dataframe can be easily cited using the cite_design function. The variables included in LexOPS are not intended to be exhaustive, but rather provide some useful and frequently used variables, and illustrative examples. The LexOPS functions will accept any dataframe of similar structure to LexOPS::lexops (one word/stimulus per row, with different features stored in other columns). Different datasets can be easily joined (such as with the dplyr join functions).
Usage
lexops
Format
A data frame with 262532 rows and 68 variables:
- string
Strings (words/lemmas).
- CMU.1letter
One-letter ARPABET representations of the main (North American) pronunciation according to the CMU Pronouncing Dictionary (http://www.speech.cs.cmu.edu/cgi-bin/cmudict).
- CMU.PrN
Number of possible (North American) pronunciations according to the CMU Pronouncing Dictionary (http://www.speech.cs.cmu.edu/cgi-bin/cmudict).
- eSpeak.br_1letter
One-letter representations of pronunciations according to the standard British pronunciation calculated by the eSpeak speech synthesiser (http://espeak.sourceforge.net/).
- eSpeak.br_IPA
International Phonetic Alphabet representations of pronunciations according to the standard British pronunciation calculated by the eSpeak speech synthesiser (http://espeak.sourceforge.net/).
- Zipf.SUBTLEX_UK
Zipf frequencies (log10(frequency_per_million)+3) calculated from UK subtitles (https://doi.org/10.1080/17470218.2013.850521).
- Zipf.SUBTLEX_US
Zipf frequencies (log10(frequency_per_million)+3) calculated from US subtitles (https://doi.org/10.3758/BRM.41.4.977).
- Zipf.BNC.Spoken
Zipf frequencies (log10(frequency_per_million)+3) calculated from the spoken texts of the British National Corpus (http://www.natcorp.ox.ac.uk/).
- Zipf.BNC.Written
Zipf frequencies (log10(frequency_per_million)+3) calculated from the written texts of the British National Corpus (http://www.natcorp.ox.ac.uk/).
- Zipf.BNC.All
Zipf frequencies (log10(frequency_per_million)+3) calculated from both the written and spoken texts of the British National Corpus (http://www.natcorp.ox.ac.uk/).
- fpmw.SUBTLEX_UK
Frequencies per million words calculated from UK subtitles (https://doi.org/10.1080/17470218.2013.850521).
- fpmw.SUBTLEX_US
Frequencies per million words calculated from US subtitles (https://doi.org/10.3758/BRM.41.4.977).
- fpmw.BNC.Spoken
Frequencies per million words calculated from the spoken texts of the British National Corpus (http://www.natcorp.ox.ac.uk/).
- fpmw.BNC.Written
Frequencies per million words calculated from the written texts of the British National Corpus (http://www.natcorp.ox.ac.uk/).
- fpmw.BNC.All
Frequencies per million words calculated from both the written and spoken texts of the British National Corpus (http://www.natcorp.ox.ac.uk/).
- PoS.SUBTLEX_UK
Dominant parts of speech according to SUBTLEX-UK (https://doi.org/10.1080/17470218.2013.850521).
- PoS.BNC.Spoken
Dominant parts of speech according to an analysis of the spoken texts of the British National Corpus (http://www.natcorp.ox.ac.uk/).
- PoS.BNC.Written
Dominant parts of speech according to an analysis of the written texts of the British National Corpus (http://www.natcorp.ox.ac.uk/).
- PoS.BNC.All
Dominant parts of speech according to an analysis of both the written and spoken texts of the British National Corpus (http://www.natcorp.ox.ac.uk/).
- PoS.ELP
Dominant parts of speech according to the English Lexicon Project http://doi.org/10.3758/BF03193014.
- Length
Number of characters in the string.
- BG.SUBTLEX_UK
Mean character bigram probabilities for each string, calculated using frequency data from UK subtitles (https://doi.org/10.1080/17470218.2013.850521).
- BG.SUBTLEX_US
Mean character bigram probabilities for each string, calculated using frequency data from US subtitles (https://doi.org/10.3758/BRM.41.4.977).
- BG.BNC.Spoken
Mean character bigram probabilities for each string, calculated using frequency data calculated for the spoken texts of the British National Corpus (http://www.natcorp.ox.ac.uk/).
- BG.BNC.Written
Mean character bigram probabilities for each string, calculated using frequency data calculated for the written texts of the British National Corpus (http://www.natcorp.ox.ac.uk/).
- BG.BNC.All
Mean character bigram probabilities for each string, calculated using frequency data calculated for both the written and spoken texts of the British National Corpus (http://www.natcorp.ox.ac.uk/).
- ON.OLD20
Orthographic Neighbourhood size, indexed by orthographic levenshtein distance 20, calculated using all words in the LexOPS database.
- ON.Colthearts_N
Orthographic Neighbourhood size, indexed by Coltheart's N, calculated using all words in the LexOPS database.
- ON.Log_OLD20
The log of ON.OLD20.
- ON.Log_Colthearts_N
The log of ON.Colthearts_N.
- Syllables.CMU
Number of syllables of the CMU Pronouncing Dictionary's (http://www.speech.cs.cmu.edu/cgi-bin/cmudict) main pronunciation.
- Syllables.eSpeak.br
Number of syllables, according to the standard British pronunciation calculated by the eSpeak speech synthesiser (http://espeak.sourceforge.net/).
- Phonemes.CMU
Number of phonemes of the CMU Pronouncing Dictionary's (http://www.speech.cs.cmu.edu/cgi-bin/cmudict) main pronunciation.
- Phonemes.eSpeak.br
Number of phonemes, according to the standard British pronunciation calculated by the eSpeak speech synthesiser (http://espeak.sourceforge.net/).
- Rhyme.CMU
Rhyme sound of the CMU Pronouncing Dictionary's (http://www.speech.cs.cmu.edu/cgi-bin/cmudict) main pronunciation.
- Rhyme.eSpeak.br
Rhyme sound of the standard British pronunciation calculated by the eSpeak speech synthesiser (http://espeak.sourceforge.net/).
- PN.PLD20.CMU
Phonological Neighbourhood size, indexed by phonological levenshtein distance 20, calculated using all words with a CMU pronunciation.
- PN.PLD20.eSpeak.br
Phonological Neighbourhood size, indexed by phonological levenshtein distance 20, calculated using all words with an eSpeak standard British English pronunciation.
- PN.Log_PLD20.CMU
The log of PN.PLD20.CMU.
- PN.Log_PLD20.eSpeak.br
The log of PN.PLD20.eSpeak.br.
- PN.Colthearts_N.CMU
Phonological Neighbourhood size, indexed by Coltheart's N, calculated using all words with a CMU pronunciation.
- PN.Colthearts_N.eSpeak.br
Phonological Neighbourhood size, indexed by Coltheart's N, calculated using all words with an eSpeak standard British English pronunciation.
- PN.Log_Colthearts_N.CMU
The log of PN.Colthearts_N.CMU.
- PN.Log_Colthearts_N.eSpeak.br
The log of PN.Colthearts_N.eSpeak.br.
- FAM.Glasgow_Norms
Familiarity ratings (1-7; low-high) from the Glasgow Norms (http://doi.org/10.3758/s13428-018-1099-3).
- FAM.Clark_and_Paivio
Familiarity ratings (1-7; low-high) from the Clark and Paivio (2004) norms (http://doi.org/10.3758/BF03195584).
- AoA.Kuperman
Age of Acquisition ratings (1-25; early-late) from the Kuperman et al. (2012) norms (http://doi.org/10.3758/s13428-012-0210-4).
- AoA.Glasgow_Norms
Age of Acquisition ratings (1-7; early-late) from the Glasgow Norms (http://doi.org/10.3758/s13428-018-1099-3).
- AoA.BrysbaertBiemiller
Test-based Age of Acquisition (2-14; early-late) from Brysbaert and Biemiller (2017) (http://doi.org/10.3758/s13428-016-0811-4).
- CNC.Brysbaert
Concreteness ratings (1-5; low-high) from the Brysbaert et al. (2014) norms (http://doi.org/10.3758/s13428-013-0403-5).
- CNC.Glasgow_Norms
Concreteness ratings (1-7; low-high) from the Glasgow Norms (http://doi.org/10.3758/s13428-018-1099-3).
- IMAG.Glasgow_Norms
Imageability ratings (1-7; low-high) from the Glasgow Norms (http://doi.org/10.3758/s13428-018-1099-3).
- IMAG.Clark_and_Paivio
Imageability ratings (1-7; low-high) from the Clark and Paivio (2004) norms (http://doi.org/10.3758/BF03195584).
- AROU.Warriner
Arousal ratings (1-9; less-more) from the Warriner et al. (2013) norms (http://doi.org/10.3758/s13428-012-0314-x).
- AROU.Glasgow_Norms
Arousal ratings (1-9; less-more) from the Glasgow Norms (http://doi.org/10.3758/s13428-018-1099-3).
- VAL.Warriner
Valence ratings (1-9; more negative-more positive) from the Warriner et al. (2013) norms (http://doi.org/10.3758/s13428-012-0314-x).
- VAL.Glasgow_Norms
Valence ratings (1-9; more negative-more positive) from the Glasgow Norms (http://doi.org/10.3758/s13428-018-1099-3).
- DOM.Warriner
Dominance ratings (1-9; less-more) from the Warriner et al. (2013) norms (http://doi.org/10.3758/s13428-012-0314-x).
- DOM.Glasgow_Norms
Dominance ratings (1-9; less-more) from the Glasgow Norms (http://doi.org/10.3758/s13428-018-1099-3).
- SIZE.Glasgow_Norms
Size ratings (1-7; smaller-larger) from the Glasgow Norms (http://doi.org/10.3758/s13428-018-1099-3).
- GEND.Glasgow_Norms
Gender ratings (1-7; more female-more male) from the Glasgow Norms (http://doi.org/10.3758/s13428-018-1099-3).
- HUM.EngelthalerHills
Humour ratings (1-5; less funny-more funny) from the Engelthaler and Hills (2018) norms http://doi.org/10.3758/s13428-017-0930-6.
- PREV.Brysbaert
Word prevalence scores from Brysbaert et al. (2019) (http://doi.org/10.3758/s13428-018-1077-9).
- PK.Brysbaert
Proportion of people who know the word, from Brysbaert et al. (2019) (http://doi.org/10.3758/s13428-018-1077-9).
- RT.BLP
Lexical Decision Response Time according to the British Lexicon Project (http://doi.org/10.3758/s13428-011-0118-4).
- Accuracy.BLP
Lexical Decision Accuracy according to the British Lexicon Project (http://doi.org/10.3758/s13428-011-0118-4).
- RT.ELP
Lexical Decision Response Time according to the English Lexicon Project http://doi.org/10.3758/BF03193014.
- Accuracy.ELP
Lexical Decision Accuracy according to the English Lexicon Project http://doi.org/10.3758/BF03193014.
JackEdTaylor/LexOPS documentation built on Sept. 10, 2023, 3:09 a.m.
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| lexops | R Documentation |
LexOPS' inbuilt variables
Description
A data frame containing 68 variables. When used in a generate pipeline, variables used from this dataframe can be easily cited using the cite_design function. The variables included in LexOPS are not intended to be exhaustive, but rather provide some useful and frequently used variables, and illustrative examples. The LexOPS functions will accept any dataframe of similar structure to LexOPS::lexops (one word/stimulus per row, with different features stored in other columns). Different datasets can be easily joined (such as with the dplyr join functions).
Usage
lexops
Format
A data frame with 262532 rows and 68 variables:
- string
Strings (words/lemmas).
- CMU.1letter
One-letter ARPABET representations of the main (North American) pronunciation according to the CMU Pronouncing Dictionary (http://www.speech.cs.cmu.edu/cgi-bin/cmudict).
- CMU.PrN
Number of possible (North American) pronunciations according to the CMU Pronouncing Dictionary (http://www.speech.cs.cmu.edu/cgi-bin/cmudict).
- eSpeak.br_1letter
One-letter representations of pronunciations according to the standard British pronunciation calculated by the eSpeak speech synthesiser (http://espeak.sourceforge.net/).
- eSpeak.br_IPA
International Phonetic Alphabet representations of pronunciations according to the standard British pronunciation calculated by the eSpeak speech synthesiser (http://espeak.sourceforge.net/).
- Zipf.SUBTLEX_UK
Zipf frequencies (
log10(frequency_per_million)+3) calculated from UK subtitles (https://doi.org/10.1080/17470218.2013.850521).- Zipf.SUBTLEX_US
Zipf frequencies (
log10(frequency_per_million)+3) calculated from US subtitles (https://doi.org/10.3758/BRM.41.4.977).- Zipf.BNC.Spoken
Zipf frequencies (
log10(frequency_per_million)+3) calculated from the spoken texts of the British National Corpus (http://www.natcorp.ox.ac.uk/).- Zipf.BNC.Written
Zipf frequencies (
log10(frequency_per_million)+3) calculated from the written texts of the British National Corpus (http://www.natcorp.ox.ac.uk/).- Zipf.BNC.All
Zipf frequencies (
log10(frequency_per_million)+3) calculated from both the written and spoken texts of the British National Corpus (http://www.natcorp.ox.ac.uk/).- fpmw.SUBTLEX_UK
Frequencies per million words calculated from UK subtitles (https://doi.org/10.1080/17470218.2013.850521).
- fpmw.SUBTLEX_US
Frequencies per million words calculated from US subtitles (https://doi.org/10.3758/BRM.41.4.977).
- fpmw.BNC.Spoken
Frequencies per million words calculated from the spoken texts of the British National Corpus (http://www.natcorp.ox.ac.uk/).
- fpmw.BNC.Written
Frequencies per million words calculated from the written texts of the British National Corpus (http://www.natcorp.ox.ac.uk/).
- fpmw.BNC.All
Frequencies per million words calculated from both the written and spoken texts of the British National Corpus (http://www.natcorp.ox.ac.uk/).
- PoS.SUBTLEX_UK
Dominant parts of speech according to SUBTLEX-UK (https://doi.org/10.1080/17470218.2013.850521).
- PoS.BNC.Spoken
Dominant parts of speech according to an analysis of the spoken texts of the British National Corpus (http://www.natcorp.ox.ac.uk/).
- PoS.BNC.Written
Dominant parts of speech according to an analysis of the written texts of the British National Corpus (http://www.natcorp.ox.ac.uk/).
- PoS.BNC.All
Dominant parts of speech according to an analysis of both the written and spoken texts of the British National Corpus (http://www.natcorp.ox.ac.uk/).
- PoS.ELP
Dominant parts of speech according to the English Lexicon Project http://doi.org/10.3758/BF03193014.
- Length
Number of characters in the string.
- BG.SUBTLEX_UK
Mean character bigram probabilities for each string, calculated using frequency data from UK subtitles (https://doi.org/10.1080/17470218.2013.850521).
- BG.SUBTLEX_US
Mean character bigram probabilities for each string, calculated using frequency data from US subtitles (https://doi.org/10.3758/BRM.41.4.977).
- BG.BNC.Spoken
Mean character bigram probabilities for each string, calculated using frequency data calculated for the spoken texts of the British National Corpus (http://www.natcorp.ox.ac.uk/).
- BG.BNC.Written
Mean character bigram probabilities for each string, calculated using frequency data calculated for the written texts of the British National Corpus (http://www.natcorp.ox.ac.uk/).
- BG.BNC.All
Mean character bigram probabilities for each string, calculated using frequency data calculated for both the written and spoken texts of the British National Corpus (http://www.natcorp.ox.ac.uk/).
- ON.OLD20
Orthographic Neighbourhood size, indexed by orthographic levenshtein distance 20, calculated using all words in the LexOPS database.
- ON.Colthearts_N
Orthographic Neighbourhood size, indexed by Coltheart's N, calculated using all words in the LexOPS database.
- ON.Log_OLD20
The log of
ON.OLD20.- ON.Log_Colthearts_N
The log of
ON.Colthearts_N.- Syllables.CMU
Number of syllables of the CMU Pronouncing Dictionary's (http://www.speech.cs.cmu.edu/cgi-bin/cmudict) main pronunciation.
- Syllables.eSpeak.br
Number of syllables, according to the standard British pronunciation calculated by the eSpeak speech synthesiser (http://espeak.sourceforge.net/).
- Phonemes.CMU
Number of phonemes of the CMU Pronouncing Dictionary's (http://www.speech.cs.cmu.edu/cgi-bin/cmudict) main pronunciation.
- Phonemes.eSpeak.br
Number of phonemes, according to the standard British pronunciation calculated by the eSpeak speech synthesiser (http://espeak.sourceforge.net/).
- Rhyme.CMU
Rhyme sound of the CMU Pronouncing Dictionary's (http://www.speech.cs.cmu.edu/cgi-bin/cmudict) main pronunciation.
- Rhyme.eSpeak.br
Rhyme sound of the standard British pronunciation calculated by the eSpeak speech synthesiser (http://espeak.sourceforge.net/).
- PN.PLD20.CMU
Phonological Neighbourhood size, indexed by phonological levenshtein distance 20, calculated using all words with a CMU pronunciation.
- PN.PLD20.eSpeak.br
Phonological Neighbourhood size, indexed by phonological levenshtein distance 20, calculated using all words with an eSpeak standard British English pronunciation.
- PN.Log_PLD20.CMU
The log of
PN.PLD20.CMU.- PN.Log_PLD20.eSpeak.br
The log of
PN.PLD20.eSpeak.br.- PN.Colthearts_N.CMU
Phonological Neighbourhood size, indexed by Coltheart's N, calculated using all words with a CMU pronunciation.
- PN.Colthearts_N.eSpeak.br
Phonological Neighbourhood size, indexed by Coltheart's N, calculated using all words with an eSpeak standard British English pronunciation.
- PN.Log_Colthearts_N.CMU
The log of
PN.Colthearts_N.CMU.- PN.Log_Colthearts_N.eSpeak.br
The log of
PN.Colthearts_N.eSpeak.br.- FAM.Glasgow_Norms
Familiarity ratings (1-7; low-high) from the Glasgow Norms (http://doi.org/10.3758/s13428-018-1099-3).
- FAM.Clark_and_Paivio
Familiarity ratings (1-7; low-high) from the Clark and Paivio (2004) norms (http://doi.org/10.3758/BF03195584).
- AoA.Kuperman
Age of Acquisition ratings (1-25; early-late) from the Kuperman et al. (2012) norms (http://doi.org/10.3758/s13428-012-0210-4).
- AoA.Glasgow_Norms
Age of Acquisition ratings (1-7; early-late) from the Glasgow Norms (http://doi.org/10.3758/s13428-018-1099-3).
- AoA.BrysbaertBiemiller
Test-based Age of Acquisition (2-14; early-late) from Brysbaert and Biemiller (2017) (http://doi.org/10.3758/s13428-016-0811-4).
- CNC.Brysbaert
Concreteness ratings (1-5; low-high) from the Brysbaert et al. (2014) norms (http://doi.org/10.3758/s13428-013-0403-5).
- CNC.Glasgow_Norms
Concreteness ratings (1-7; low-high) from the Glasgow Norms (http://doi.org/10.3758/s13428-018-1099-3).
- IMAG.Glasgow_Norms
Imageability ratings (1-7; low-high) from the Glasgow Norms (http://doi.org/10.3758/s13428-018-1099-3).
- IMAG.Clark_and_Paivio
Imageability ratings (1-7; low-high) from the Clark and Paivio (2004) norms (http://doi.org/10.3758/BF03195584).
- AROU.Warriner
Arousal ratings (1-9; less-more) from the Warriner et al. (2013) norms (http://doi.org/10.3758/s13428-012-0314-x).
- AROU.Glasgow_Norms
Arousal ratings (1-9; less-more) from the Glasgow Norms (http://doi.org/10.3758/s13428-018-1099-3).
- VAL.Warriner
Valence ratings (1-9; more negative-more positive) from the Warriner et al. (2013) norms (http://doi.org/10.3758/s13428-012-0314-x).
- VAL.Glasgow_Norms
Valence ratings (1-9; more negative-more positive) from the Glasgow Norms (http://doi.org/10.3758/s13428-018-1099-3).
- DOM.Warriner
Dominance ratings (1-9; less-more) from the Warriner et al. (2013) norms (http://doi.org/10.3758/s13428-012-0314-x).
- DOM.Glasgow_Norms
Dominance ratings (1-9; less-more) from the Glasgow Norms (http://doi.org/10.3758/s13428-018-1099-3).
- SIZE.Glasgow_Norms
Size ratings (1-7; smaller-larger) from the Glasgow Norms (http://doi.org/10.3758/s13428-018-1099-3).
- GEND.Glasgow_Norms
Gender ratings (1-7; more female-more male) from the Glasgow Norms (http://doi.org/10.3758/s13428-018-1099-3).
- HUM.EngelthalerHills
Humour ratings (1-5; less funny-more funny) from the Engelthaler and Hills (2018) norms http://doi.org/10.3758/s13428-017-0930-6.
- PREV.Brysbaert
Word prevalence scores from Brysbaert et al. (2019) (http://doi.org/10.3758/s13428-018-1077-9).
- PK.Brysbaert
Proportion of people who know the word, from Brysbaert et al. (2019) (http://doi.org/10.3758/s13428-018-1077-9).
- RT.BLP
Lexical Decision Response Time according to the British Lexicon Project (http://doi.org/10.3758/s13428-011-0118-4).
- Accuracy.BLP
Lexical Decision Accuracy according to the British Lexicon Project (http://doi.org/10.3758/s13428-011-0118-4).
- RT.ELP
Lexical Decision Response Time according to the English Lexicon Project http://doi.org/10.3758/BF03193014.
- Accuracy.ELP
Lexical Decision Accuracy according to the English Lexicon Project http://doi.org/10.3758/BF03193014.
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