Running examples in ‘analyzer-Ex.R’ failed
The error most likely occurred in:

> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: association
> ### Title: Find association between variables
> ### Aliases: association
> 
> ### ** Examples
> 
> tb <- mtcars
> tb$cyl <- as.factor(tb$cyl)
> tb$vs  <- as.factor(tb$vs)
> out <- association(tb, categorical = c("cyl", "vs"))
Warning in ks.test(x, "pnorm", mean = mean(x), sd = sd(x)) :
  ties should not be present for the Kolmogorov-Smirnov test
Warning in ks.test(x, "pnorm", mean = mean(x), sd = sd(x)) :
  ties should not be present for the Kolmogorov-Smirnov test
Warning in ks.test(x, "pnorm", mean = mean(x), sd = sd(x)) :
  ties should not be present for the Kolmogorov-Smirnov test
Warning in ks.test(x, "pnorm", mean = mean(x), sd = sd(x)) :
  ties should not be present for the Kolmogorov-Smirnov test
Warning in ks.test(x, "pnorm", mean = mean(x), sd = sd(x)) :
  ties should not be present for the Kolmogorov-Smirnov test
Warning in ks.test(x, "pnorm", mean = mean(x), sd = sd(x)) :
  ties should not be present for the Kolmogorov-Smirnov test
Warning in ks.test(x, "pnorm", mean = mean(x), sd = sd(x)) :
  ties should not be present for the Kolmogorov-Smirnov test
Warning in ks.test(x, "pnorm", mean = mean(x), sd = sd(x)) :
  ties should not be present for the Kolmogorov-Smirnov test
Warning in ks.test(x, "pnorm", mean = mean(x), sd = sd(x)) :
  ties should not be present for the Kolmogorov-Smirnov test
Warning in CC_(x, y, c(xname, yname), norm_test, met) :
  Variables 'mpg' and 'mpg' follows normality assumptions. Doing parameteric test
                       (Pearson) for these variables.
Warning in CC_(x, y, c(xname, yname), norm_test, met) :
  Variables 'disp' and 'mpg' follows normality assumptions. Doing parameteric test
                       (Pearson) for these variables.
Warning in CC_(x, y, c(xname, yname), norm_test, met) :
  Variables 'disp' and 'disp' follows normality assumptions. Doing parameteric test
                       (Pearson) for these variables.
Warning in CC_(x, y, c(xname, yname), norm_test, met) :
  Variables 'hp' and 'mpg' follows normality assumptions. Doing parameteric test
                       (Pearson) for these variables.
Warning in CC_(x, y, c(xname, yname), norm_test, met) :
  Variables 'hp' and 'disp' follows normality assumptions. Doing parameteric test
                       (Pearson) for these variables.
Warning in CC_(x, y, c(xname, yname), norm_test, met) :
  Variables 'hp' and 'hp' follows normality assumptions. Doing parameteric test
                       (Pearson) for these variables.
Warning in CC_(x, y, c(xname, yname), norm_test, met) :
  Variables 'drat' and 'mpg' follows normality assumptions. Doing parameteric test
                       (Pearson) for these variables.
Warning in CC_(x, y, c(xname, yname), norm_test, met) :
  Variables 'drat' and 'disp' follows normality assumptions. Doing parameteric test
                       (Pearson) for these variables.
Warning in CC_(x, y, c(xname, yname), norm_test, met) :
  Variables 'drat' and 'hp' follows normality assumptions. Doing parameteric test
                       (Pearson) for these variables.
Warning in CC_(x, y, c(xname, yname), norm_test, met) :
  Variables 'drat' and 'drat' follows normality assumptions. Doing parameteric test
                       (Pearson) for these variables.
Warning in CC_(x, y, c(xname, yname), norm_test, met) :
  Variables 'wt' and 'mpg' follows normality assumptions. Doing parameteric test
                       (Pearson) for these variables.
Warning in CC_(x, y, c(xname, yname), norm_test, met) :
  Variables 'wt' and 'disp' follows normality assumptions. Doing parameteric test
                       (Pearson) for these variables.
Warning in CC_(x, y, c(xname, yname), norm_test, met) :
  Variables 'wt' and 'hp' follows normality assumptions. Doing parameteric test
                       (Pearson) for these variables.
Warning in CC_(x, y, c(xname, yname), norm_test, met) :
  Variables 'wt' and 'drat' follows normality assumptions. Doing parameteric test
                       (Pearson) for these variables.
Warning in CC_(x, y, c(xname, yname), norm_test, met) :
  Variables 'wt' and 'wt' follows normality assumptions. Doing parameteric test
                       (Pearson) for these variables.
Warning in CC_(x, y, c(xname, yname), norm_test, met) :
  Variables 'qsec' and 'mpg' follows normality assumptions. Doing parameteric test
                       (Pearson) for these variables.
Warning in CC_(x, y, c(xname, yname), norm_test, met) :
  Variables 'qsec' and 'disp' follows normality assumptions. Doing parameteric test
                       (Pearson) for these variables.
Warning in CC_(x, y, c(xname, yname), norm_test, met) :
  Variables 'qsec' and 'hp' follows normality assumptions. Doing parameteric test
                       (Pearson) for these variables.
Warning in CC_(x, y, c(xname, yname), norm_test, met) :
  Variables 'qsec' and 'drat' follows normality assumptions. Doing parameteric test
                       (Pearson) for these variables.
Warning in CC_(x, y, c(xname, yname), norm_test, met) :
  Variables 'qsec' and 'wt' follows normality assumptions. Doing parameteric test
                       (Pearson) for these variables.
Warning in CC_(x, y, c(xname, yname), norm_test, met) :
  Variables 'qsec' and 'qsec' follows normality assumptions. Doing parameteric test
                       (Pearson) for these variables.
Warning in CC_(x, y, c(xname, yname), norm_test, met) :
  Variables 'am' and 'mpg' doesn't follow normality assumptions. Doing
                       non-parameteric test (Spearman) for these variables.
Warning in cor.test.default(x, y, method = "spearman") :
  Cannot compute exact p-value with ties
Warning in CC_(x, y, c(xname, yname), norm_test, met) :
  Variables 'am' and 'disp' doesn't follow normality assumptions. Doing
                       non-parameteric test (Spearman) for these variables.
Warning in cor.test.default(x, y, method = "spearman") :
  Cannot compute exact p-value with ties
Warning in CC_(x, y, c(xname, yname), norm_test, met) :
  Variables 'am' and 'hp' doesn't follow normality assumptions. Doing
                       non-parameteric test (Spearman) for these variables.
Warning in cor.test.default(x, y, method = "spearman") :
  Cannot compute exact p-value with ties
Warning in CC_(x, y, c(xname, yname), norm_test, met) :
  Variables 'am' and 'drat' doesn't follow normality assumptions. Doing
                       non-parameteric test (Spearman) for these variables.
Warning in cor.test.default(x, y, method = "spearman") :
  Cannot compute exact p-value with ties
Warning in CC_(x, y, c(xname, yname), norm_test, met) :
  Variables 'am' and 'wt' doesn't follow normality assumptions. Doing
                       non-parameteric test (Spearman) for these variables.
Warning in cor.test.default(x, y, method = "spearman") :
  Cannot compute exact p-value with ties
Warning in CC_(x, y, c(xname, yname), norm_test, met) :
  Variables 'am' and 'qsec' doesn't follow normality assumptions. Doing
                       non-parameteric test (Spearman) for these variables.
Warning in cor.test.default(x, y, method = "spearman") :
  Cannot compute exact p-value with ties
Warning in CC_(x, y, c(xname, yname), norm_test, met) :
  Variables 'am' and 'am' doesn't follow normality assumptions. Doing
                       non-parameteric test (Spearman) for these variables.
Warning in cor.test.default(x, y, method = "spearman") :
  Cannot compute exact p-value with ties
Warning in CC_(x, y, c(xname, yname), norm_test, met) :
  Variables 'gear' and 'mpg' doesn't follow normality assumptions. Doing
                       non-parameteric test (Spearman) for these variables.
Warning in cor.test.default(x, y, method = "spearman") :
  Cannot compute exact p-value with ties
Warning in CC_(x, y, c(xname, yname), norm_test, met) :
  Variables 'gear' and 'disp' doesn't follow normality assumptions. Doing
                       non-parameteric test (Spearman) for these variables.
Warning in cor.test.default(x, y, method = "spearman") :
  Cannot compute exact p-value with ties
Warning in CC_(x, y, c(xname, yname), norm_test, met) :
  Variables 'gear' and 'hp' doesn't follow normality assumptions. Doing
                       non-parameteric test (Spearman) for these variables.
Warning in cor.test.default(x, y, method = "spearman") :
  Cannot compute exact p-value with ties
Warning in CC_(x, y, c(xname, yname), norm_test, met) :
  Variables 'gear' and 'drat' doesn't follow normality assumptions. Doing
                       non-parameteric test (Spearman) for these variables.
Warning in cor.test.default(x, y, method = "spearman") :
  Cannot compute exact p-value with ties
Warning in CC_(x, y, c(xname, yname), norm_test, met) :
  Variables 'gear' and 'wt' doesn't follow normality assumptions. Doing
                       non-parameteric test (Spearman) for these variables.
Warning in cor.test.default(x, y, method = "spearman") :
  Cannot compute exact p-value with ties
Warning in CC_(x, y, c(xname, yname), norm_test, met) :
  Variables 'gear' and 'qsec' doesn't follow normality assumptions. Doing
                       non-parameteric test (Spearman) for these variables.
Warning in cor.test.default(x, y, method = "spearman") :
  Cannot compute exact p-value with ties
Warning in CC_(x, y, c(xname, yname), norm_test, met) :
  Variables 'gear' and 'am' doesn't follow normality assumptions. Doing
                       non-parameteric test (Spearman) for these variables.
Warning in cor.test.default(x, y, method = "spearman") :
  Cannot compute exact p-value with ties
Warning in CC_(x, y, c(xname, yname), norm_test, met) :
  Variables 'gear' and 'gear' doesn't follow normality assumptions. Doing
                       non-parameteric test (Spearman) for these variables.
Warning in cor.test.default(x, y, method = "spearman") :
  Cannot compute exact p-value with ties
Warning in CC_(x, y, c(xname, yname), norm_test, met) :
  Variables 'carb' and 'mpg' follows normality assumptions. Doing parameteric test
                       (Pearson) for these variables.
Warning in CC_(x, y, c(xname, yname), norm_test, met) :
  Variables 'carb' and 'disp' follows normality assumptions. Doing parameteric test
                       (Pearson) for these variables.
Warning in CC_(x, y, c(xname, yname), norm_test, met) :
  Variables 'carb' and 'hp' follows normality assumptions. Doing parameteric test
                       (Pearson) for these variables.
Warning in CC_(x, y, c(xname, yname), norm_test, met) :
  Variables 'carb' and 'drat' follows normality assumptions. Doing parameteric test
                       (Pearson) for these variables.
Warning in CC_(x, y, c(xname, yname), norm_test, met) :
  Variables 'carb' and 'wt' follows normality assumptions. Doing parameteric test
                       (Pearson) for these variables.
Warning in CC_(x, y, c(xname, yname), norm_test, met) :
  Variables 'carb' and 'qsec' follows normality assumptions. Doing parameteric test
                       (Pearson) for these variables.
Warning in CC_(x, y, c(xname, yname), norm_test, met) :
  Variables 'carb' and 'am' doesn't follow normality assumptions. Doing
                       non-parameteric test (Spearman) for these variables.
Warning in cor.test.default(x, y, method = "spearman") :
  Cannot compute exact p-value with ties
Warning in CC_(x, y, c(xname, yname), norm_test, met) :
  Variables 'carb' and 'gear' doesn't follow normality assumptions. Doing
                       non-parameteric test (Spearman) for these variables.
Warning in cor.test.default(x, y, method = "spearman") :
  Cannot compute exact p-value with ties
Warning in CC_(x, y, c(xname, yname), norm_test, met) :
  Variables 'carb' and 'carb' follows normality assumptions. Doing parameteric test
                       (Pearson) for these variables.
Warning in chisq.test(tbl, correct = F) :
  Chi-squared approximation may be incorrect
Warning in chisq.test(tbl, correct = F) :
  Chi-squared approximation may be incorrect
Warning in value[[3L]](cond) : Normality test failed for mpg
Warning in value[[3L]](cond) : Normality test failed for mpg
Warning in value[[3L]](cond) : Normality test failed for mpg
Warning in all(npvalue) : coercing argument of type 'double' to logical
Warning in CQ_(x, y, met, c(xname, yname), normality_test_method, normality_test_pval) :
  Variable mpg doesn't follows assumptions of ANOVA. Doing
                         Non-parametric test (Kruskal Wallis) for variables: mpg, cyl
Warning in value[[3L]](cond) : Normality test failed for mpg
Warning in value[[3L]](cond) : Normality test failed for mpg
Warning in all(norm_test) :
  coercing argument of type 'double' to logical
Warning in CQ_(x, y, met, c(xname, yname), normality_test_method, normality_test_pval) :
  Variable mpg doesn't follow assumptions of t-test.
                         Doing Non-parametric test (Mann-Whitney test)
                         for variables: mpg, vs
Warning in wilcox.test.default(x = DATA[[1L]], y = DATA[[2L]], ...) :
  cannot compute exact p-value with ties
Warning in value[[3L]](cond) : Normality test failed for disp
Warning in value[[3L]](cond) : Normality test failed for disp
Warning in value[[3L]](cond) : Normality test failed for disp
Warning in all(npvalue) : coercing argument of type 'double' to logical
Warning in CQ_(x, y, met, c(xname, yname), normality_test_method, normality_test_pval) :
  Variable disp doesn't follows assumptions of ANOVA. Doing
                         Non-parametric test (Kruskal Wallis) for variables: disp, cyl
Warning in value[[3L]](cond) : Normality test failed for disp
Warning in value[[3L]](cond) : Normality test failed for disp
Warning in all(norm_test) :
  coercing argument of type 'double' to logical
Warning in CQ_(x, y, met, c(xname, yname), normality_test_method, normality_test_pval) :
  Variable disp doesn't follow assumptions of t-test.
                         Doing Non-parametric test (Mann-Whitney test)
                         for variables: disp, vs
Warning in wilcox.test.default(x = DATA[[1L]], y = DATA[[2L]], ...) :
  cannot compute exact p-value with ties
Warning in value[[3L]](cond) : Normality test failed for hp
Warning in value[[3L]](cond) : Normality test failed for hp
Warning in value[[3L]](cond) : Normality test failed for hp
Warning in all(npvalue) : coercing argument of type 'double' to logical
Warning in CQ_(x, y, met, c(xname, yname), normality_test_method, normality_test_pval) :
  Variable hp doesn't follows assumptions of ANOVA. Doing
                         Non-parametric test (Kruskal Wallis) for variables: hp, cyl
Warning in value[[3L]](cond) : Normality test failed for hp
Warning in value[[3L]](cond) : Normality test failed for hp
Warning in all(norm_test) :
  coercing argument of type 'double' to logical
Warning in CQ_(x, y, met, c(xname, yname), normality_test_method, normality_test_pval) :
  Variable hp doesn't follow assumptions of t-test.
                         Doing Non-parametric test (Mann-Whitney test)
                         for variables: hp, vs
Warning in wilcox.test.default(x = DATA[[1L]], y = DATA[[2L]], ...) :
  cannot compute exact p-value with ties
Warning in ks.test(x, "pnorm", mean = mean(x), sd = sd(x)) :
  ties should not be present for the Kolmogorov-Smirnov test
Warning in mean.default(x) :
  argument is not numeric or logical: returning NA
Warning in sqrt(var(if (is.vector(x) || is.factor(x)) x else as.double(x),  :
  NaNs produced
Warning in ks.test(x, "pnorm", mean = mean(x), sd = sd(x)) :
  ties should not be present for the Kolmogorov-Smirnov test
Warning in mean.default(x) :
  argument is not numeric or logical: returning NA
Warning in sqrt(var(if (is.vector(x) || is.factor(x)) x else as.double(x),  :
  NaNs produced
Warning in ks.test(x, "pnorm", mean = mean(x), sd = sd(x)) :
  ties should not be present for the Kolmogorov-Smirnov test
Warning in mean.default(x) :
  argument is not numeric or logical: returning NA
Warning in sqrt(var(if (is.vector(x) || is.factor(x)) x else as.double(x),  :
  NaNs produced
Error in if (norm_test) { : missing value where TRUE/FALSE needed
Calls: association -> CQassociation -> CQ_
Execution halted