View source: R/cormatrix_excel.R
cormatrix_excel | R Documentation |
Easily output a correlation matrix and export it to Microsoft Excel, with the first row and column frozen, and correlation coefficients colour-coded based on effect size (0.0-0.2: small (no colour); 0.2-0.4: medium (pink/light blue); 0.4-1.0: large (red/dark blue)), following Cohen's suggestions for small (.10), medium (.30), and large (.50) correlation sizes.
Based on the correlation
and openxlsx2
packages.
cormatrix_excel(
data,
filename,
overwrite = TRUE,
p_adjust = "none",
print.mat = TRUE,
...
)
data |
The data frame |
filename |
Desired filename (path can be added before hand but no need to specify extension). |
overwrite |
Whether to allow overwriting previous file. |
p_adjust |
Default p-value adjustment method (default is "none",
although |
print.mat |
Logical, whether to also print the correlation matrix to console. |
... |
Parameters to be passed to the |
For the easystats equivalent, see:
correlation::cormatrix_to_excel()
.
A Microsoft Excel document, containing the colour-coded correlation matrix with significance stars, on the first sheet, and the colour-coded p-values on the second sheet.
Adapted from @JanMarvin (JanMarvin/openxlsx2#286) and the original cormatrix_excel (now imported from correlation::cormatrix_to_excel).
# Basic example
cormatrix_excel(mtcars, select = c("mpg", "cyl", "disp", "hp", "carb"), filename = "cormatrix1")
cormatrix_excel(iris, p_adjust = "none", filename = "cormatrix2")
cormatrix_excel(airquality, method = "spearman", filename = "cormatrix3")
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