most_correlated: Calculate the words most correlated with an input word.
In ajfabry/Statspeare: What the Package Does (One Line, Title Case)
Description
Usage
Arguments
Value
References
Examples
View source: R/top_relations.R
Description
The correlation coefficient between vectors x and y is calculated
using
cor(x,y) = cov(x,y) / sqrt( var(x) * var(y) )
In this function, this formula is
applied between x all other word vectors in matrix m, and the resulting
correlation coefficients are sorted and returned in the form of a data table.
Usage
1
most_correlated(m, word, num_results = 10)
Arguments
m
A matrix.
word
An entry in m.
num_results
Number of results to display.
Value
A data table of words in m most correlated with x.
References
“Displaying and Summarizing Data.” Introduction to Bayesian Statistics, by William M.
Bolstad, 2nd ed., Wiley, 2007, pp. 29–54.
Examples
1
most_correlated(W, "loue")
ajfabry/Statspeare documentation built on Jan. 26, 2020, 7:44 a.m.
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Description Usage Arguments Value References Examples
View source: R/top_relations.R
Description
The correlation coefficient between vectors x and y is calculated
using
cor(x,y) = cov(x,y) / sqrt( var(x) * var(y) )
In this function, this formula is
applied between x all other word vectors in matrix m, and the resulting
correlation coefficients are sorted and returned in the form of a data table.
Usage
1 | most_correlated(m, word, num_results = 10)
|
Arguments
m |
A matrix. |
word |
An entry in |
num_results |
Number of results to display. |
Value
A data table of words in m most correlated with x.
References
“Displaying and Summarizing Data.” Introduction to Bayesian Statistics, by William M. Bolstad, 2nd ed., Wiley, 2007, pp. 29–54.
Examples
1 | most_correlated(W, "loue")
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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