cor_df: Pearson's correlation coefficient of bivariate data
In EllaKaye/Module1:
Description
Usage
Arguments
Value
Examples
Description
Pearson's correlation coefficient of bivariate data
Usage
1
cor_df(bivar_data)
Arguments
bivar_data
A data-frame or matrix, the first two columns of which contain the two vectors for which the correlation coefficient is required
Value
the Pearson correlation coefficient of bivar_data[,1] and bivar_data[,2]
Examples
1
2
A <- data.frame(x=rnorm(10), y=rnorm(10, mean=2))
cor_df(A)
EllaKaye/Module1 documentation built on May 6, 2019, 3:25 p.m.
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Description Usage Arguments Value Examples
Description
Pearson's correlation coefficient of bivariate data
Usage
1 | cor_df(bivar_data)
|
Arguments
bivar_data |
A data-frame or matrix, the first two columns of which contain the two vectors for which the correlation coefficient is required |
Value
the Pearson correlation coefficient of bivar_data[,1] and bivar_data[,2]
Examples
1 2 | A <- data.frame(x=rnorm(10), y=rnorm(10, mean=2))
cor_df(A)
|
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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