- Using Test Statistic
- Using Textstat To Find
- Using Textstat To Make
- Using Textstat To Change
- Using Textstat To Use
Description
Produces counts and document frequencies summaries of the features in adfm, optionally grouped by a docvars variable or other suppliedgrouping variable.
Apr 25, 2016 TextSTAT is a simple programme for the analysis of texts. It reads plain text files (in different encodings) and HTML files (directly from the internet) and it produces word frequency lists and concordances from these files. Textstatreadability: Calculate readability Description. Calculate the readability of text(s) using one of a variety of computed indexes. Usage textstatreadability( x, measure = 'Flesch', removehyphens = TRUE, minsentencelength = 1, maxsentencelength = 10000, intermediate = FALSE. Nov 22, 2020 Textstat. Textstat is an easy to use library to calculate statistics from text. It helps determine readability, complexity, and grade level. TextSTAT 2.9c for Windows (ZIP file, approx. 8 MB, Feb 20, 2014) This version includes everything you need to use TextSTAT with Windows. It comes as a single installation file. To install the programme, just unpack the file to a directory of your choice. To run TextSTAT, change to that directory and doubleclick on 'TextSTAT.exe'.
Usage
Arguments
a dfm object
(optional) integer specifying the top
n
features to be returned,within group if groups
is specifiedeither: a character vector containing the names of documentvariables to be used for grouping; or a factor or object that can becoerced into a factor equal in length or rows to the number of documents.
NA
values of the grouping value are dropped.See groups for details.character string specifying how ties are treated. See
data.table::frank()
for details. Unlike that function,however, the default is 'min'
, so that frequencies of 10, 10, 11would be ranked 1, 1, 3.additional arguments passed to
dfm_group()
. This canbe useful in passing force = TRUE
, for instance, if you are grouping adfm that has been weighted.Value
a data.frame containing the following variables:
Using Test Statistic
feature
(character) the feature
frequency
count of the feature
rank
rank of the feature, where 1 indicates the greatestfrequency
docfreq
document frequency of the feature, as a count (thenumber of documents in which this feature occurred at least once)
Using Textstat To Find
docfreq
document frequency of the feature, as a count
Using Textstat To Make
group
Using Textstat To Change
(only if
groups
is specified) the label of the group.If the features have been grouped, then all counts, ranks, and documentfrequencies are within group. If groups is not specified, the group
column is omitted from the returned data.frame.textstat_frequency
returns a data.frame of features andtheir term and document frequencies within groups.