Description Usage Arguments Value See Also Examples
Performs Two Sample Kolmogorov-Smirnov Tests on a given dataset. The data can be a mixture of numric and factor variables. The results are outputed as a data frame. Furthermore the results an be saved as .csv file to a specified directory. The null hypothesis to the test is that the distributions are equal. Ho: dist(xi) = dist(xj), where i != j.
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dataset |
A dataset on which Kolmogorov-Smirnov Tests are performed. |
y_index |
An integer value, the column index of the response variable, the default is NULL. |
y_name |
A character value, the column name of the response variable, the default is NULL. |
test_dist |
An optional vector to be tested against the variables of the given dataset |
alternative |
The type of hypothesis being tested; two.sided, greater, less. The default is "two.sided" |
file_name |
A character object indicating the file name when saving the data frame. The default is NULL. The name must include the .csv suffixs. |
directory |
A character object specifying the directory where the data frame is to be saved as a .csv file. The default is NULL. |
Outputs the Variance F-Tests information as a data frame.
tests_chisq
, tests_cors
, tests_norm
, tests_proptest
, tests_t
, tests_var
, tests_wilcoxon
1 2 3 4 5 6 7 8 9 10 | #-- Example Lung Cap Data --#
# Perform Kolmogorov-Smirnov Tests on the entire dataset
tests_ks(dataset = lungcap)
# Perform KS tests specifically in relation to the 2nd column
tests_ks(dataset = lungcap, y_index = 2)
# Perform KS tests specifically in relation to the 'Age' column
tests_ks(dataset = lungcap, y_name = "Age")
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