Description Usage Arguments Value See Also Examples
This function performs Chi-Squared Tests of Association on a given dataset. The dataset can be a mixture of data types. By default, the function performs the chi-squared tests on all factor variables in the dataset. However, a y_index or y_name can be assigned toa response variable, whereby all chi-square tests are perform in relation to that specified response variable. The results of the chi-squared; the variable names, test statistics and p-value are returned as a data frame. This data frame can be exported as a .csv to a specified directory.
1 2 3 |
dataset |
The dataset on which the chi-squared tests are performed. |
y_index |
An Iinteger value, indicating the column index of the response variable, the default is NULL. |
y_name |
A character value, indicating the column name of the response variable, the default is NULL. |
correct |
A logical value, indicating whether contnuity correctio should be applied, the default is TRUE. Note that no continuity correction is applied if simulate.p.value = TRUE. |
simulate.p.value |
A logial value, indicating whether to compute p-values by Monte Carlo simulation, the default is FALSE. |
file_name |
A character object indicating the file name when saving the data frame. The default is "tests_chisq.csv". 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 results of the chi-squared test; the variable names, test statistic and p-value as a data frame.
tests_chisq
, tests_cors
, tests_ks
, tests_norm
, tests_proptest
, tests_t
, tests_var
, tests_wilcoxon
1 2 3 4 5 6 7 8 9 10 | #-- Example Lung Capcity Data --#
# perform chi-square tests on all pairs of factor variables in the dataset.
tests_chisq(dataset = lungcap)
# perform chi-square tests in relation to the 5th column.
tests_chisq(dataset = lungcap, y_index = 5)
# perform chi-square resrs in relation to the Gender column.
tests_chisq(dataset = lungcap, y_name = 'Gender')
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