corr_heatmap: Plots the dataframe as a color-encoded Pearson correlation...
In UBC-MDS/collinearityR_tool: Identify Multicollinearity Issues
Description
Usage
Arguments
Details
Value
Examples
View source: R/collinearityR.R
Description
The rows and the columns contain variable names, while
the heatmap tiles contain Pearson correlation coefficient and
corresponding colours.
Usage
1
corr_heatmap(df, color_neg, color_pos)
Arguments
df
dataframe. 2-D dataframe.
color_neg
string. The color for the negative correlation.
color_pos
string. The color for the positive correlation.
Details
The inputs must be a 2-D data frame
Value
The heatmap.
Examples
1
corr_heatmap(mtcars[, c(1,3,4,5,6,7)])
UBC-MDS/collinearityR_tool documentation built on Feb. 6, 2022, 9:41 p.m.
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Description Usage Arguments Details Value Examples
View source: R/collinearityR.R
Description
The rows and the columns contain variable names, while the heatmap tiles contain Pearson correlation coefficient and corresponding colours.
Usage
1 | corr_heatmap(df, color_neg, color_pos)
|
Arguments
df |
dataframe. 2-D dataframe. |
color_neg |
string. The color for the negative correlation. |
color_pos |
string. The color for the positive correlation. |
Details
The inputs must be a 2-D data frame
Value
The heatmap.
Examples
1 | corr_heatmap(mtcars[, c(1,3,4,5,6,7)])
|
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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