Description Usage Arguments Details Value Examples
keeps wither the anova or the kruskal p value depending on the results of the shapiro test (shapiro_stat > 0.9 p_val > 0.05) and keeps the difference of percent of the mean. Still works if one of the input dataframes is NULL
1 2 | f_stat_combine_anova_with_chi_square(df_anova = NULL,
df_chi_square = NULL)
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df_anova |
dataframe created with f_stat_anova, Default: NULL |
df_chi_square |
dataframe created with f_stat_chi_square(), Default: NULL |
DETAILS
OUTPUT_DESCRIPTION
1 2 3 4 5 6 7 8 9 | data_ls = f_clean_data(mtcars)
df_chi_squ = f_stat_chi_square(data_ls, 'cyl')
df_anova = f_stat_anova(data_ls, 'cyl')
df_comb = f_stat_combine_anova_with_chi_square(df_anova, df_chi_squ)
df_comb
df_comb = f_stat_combine_anova_with_chi_square(df_anova)
df_comb
df_comb = f_stat_combine_anova_with_chi_square(df_chi_square = df_chi_squ)
df_comb
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