refactor: use isTRUE(all.equal()) instead of all.equal() for checking boolean

Author: m-muecke

R/crossvalidation.R

@@ -505,7 +505,7 @@ applyFolds <- function(object, folds = cv(rep(1, length(unique(object$id))), typ
   OOBweights <- matrix(rep(sample_weights, ncol(folds)), ncol = ncol(folds))
   OOBweights[folds > 0] <- 0
 
-  if (all.equal(papply, mclapply) == TRUE) {
+  if (isTRUE(all.equal(papply, mclapply))) {
     oobrisk <- papply(1:ncol(folds),
                       function(i) try(dummyfct(weights = folds[, i],
                                                oobweights = OOBweights[, i]),

R/utilityFunctions.R

@@ -1107,7 +1107,7 @@ reweightData <- function(data, argvals, vars,
 
   ## check that all idvars are equal
   if(length(idvars)>1)
-    if(!all(sapply(data[idvars][-1],function(x)all.equal(data[idvars][[1]],x)=="TRUE")))
+    if(!all(sapply(data[idvars][-1],function(x) isTRUE(all.equal(data[idvars][[1]], x)))))
       stop("All idvars must be identical.")
   idvars_new <- NULL
 
@@ -1131,7 +1131,7 @@ reweightData <- function(data, argvals, vars,
     for(j in 1:length(nhm)){
 
       ## check that idvars == idvars[[1]] and match id-variables in all hmatrix-objects
-      if(!is.null(idvars) && !(all.equal(c(getId(data[[nhm[j]]])), c(data[[idvars[1]]])) == "TRUE")) 
+      if(!is.null(idvars) && !isTRUE(all.equal(c(getId(data[[nhm[j]]])), c(data[[idvars[1]]]))))
         stop("id variable in hmatrix object must be equal to idvars")
 
       ## subset hmatrix