Description Usage Arguments Details Value Author(s) Examples

View source: R/sentomeasures_methods.R

Scales and centers the sentiment measures from a `sentomeasures`

object, column-per-column. By default,
the measures are normalized. `NA`

s are removed first.

1 2 |

`x` |
a |

`center` |
a |

`scale` |
a |

If one of the arguments `center`

or `scale`

is a `matrix`

, this operation will be applied first,
and eventual other centering or scaling is computed on that data.

A modified `sentomeasures`

object, with the measures replaced by the scaled measures as well as updated
statistics.

Samuel Borms

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 | ```
data("usnews", package = "sentometrics")
data("list_lexicons", package = "sentometrics")
data("list_valence_shifters", package = "sentometrics")
set.seed(505)
# construct a sentomeasures object to start with
corpus <- sento_corpus(corpusdf = usnews)
corpusSample <- quanteda::corpus_sample(corpus, size = 500)
l <- sento_lexicons(list_lexicons[c("LM_en", "HENRY_en")], list_valence_shifters[["en"]])
ctr <- ctr_agg(howTime = c("equal_weight", "linear"), by = "year", lag = 3)
sentomeasures <- sento_measures(corpusSample, l, ctr)
# scale sentiment measures to zero mean and unit standard deviation
sc1 <- scale(sentomeasures)
n <- nobs(sentomeasures)
m <- nmeasures(sentomeasures)
# add a matrix
sc2 <- scale(sentomeasures, center = matrix(runif(n * m), n, m), scale = FALSE)
# divide every row observation based on a one-column matrix, then center
sc3 <- scale(sentomeasures, center = TRUE, scale = matrix(runif(n)))
``` |

sborms/sentometrics documentation built on Dec. 26, 2018, 6:25 p.m.

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