generate_report_cmahalanobis | R Documentation |
This function takes a dataframe, a factor or factors (two or more) and returns a Microsoft Word document about the Mahalanobis distances matrix or matrices (two or more) and the p-values matrix or matrices.
generate_report_cmahalanobis(
dataset,
formula,
pvalue.method = "permutation",
seed = NULL,
min_group_size = 3,
pvalues_chisq = FALSE
)
dataset |
A dataframe. |
formula |
A variable or variables (two or more) with factors which you want to calculate the Mahalanobis distances matrix or matrices (two or more) and the p_values matrix or matrices (two or more). |
pvalue.method |
A p_value method used to calculate the matrix or matrices (two or more), the default value is "permutation". Another method is "bootstrap". |
seed |
Optionally, set a seed for "bootstrap" or "permutation". |
min_group_size |
Minimum group size to maintain. The default value is 3,therefore groups, inside variables, with less than 3 observations will be discarded. |
pvalues_chisq |
If TRUE, print the result of the chi-squared test on squared distances. The resulting distances with "pvalues_chisq = FALSE" are not squared; instead, with "pvalues_chisq = TRUE", the squared Mahalanobis distance matrix with corresponding p_values will be printed. Default is FALSE. |
A Microsoft Word document about the Mahalanobis distances matrix or matrices (two or more) and the p_values matrix or matrices (two or more).
# Example with iris dataset
data(iris)
# Generate a report about the "Species"
# factor in the iris dataset using the "permutation" method.
generate_report_cmahalanobis(iris, ~Species, min_group_size = 3)
# Example with mtcars dataset
data(mtcars)
# Generate a report about the "am" and "vs" in mtcars using "bootstrap" method.
generate_report_cmahalanobis(mtcars, ~am + vs,
pvalue.method = "bootstrap",
seed = 100, min_group_size = 2)
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