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[Solved] Remove NA inside column from Datafarme [closed]

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[ad_1] We loop through the columns, remove the NA elements, then select the minimum number of observations after comparing all the elements in the list. lst <- lapply(df1, function(x) x[complete.cases(x)]) res <- data.frame(lapply(lst, `length<-`,min(lengths(lst)))) res # cost customer.satisfaction safety time #1 40 57 32 24 #2 38 72 30 40 #3 36 73 58 22 … Read more

[Solved] How to add zoom option for wordcloud in Shiny (with reproducible example)

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[ad_1] Normalisation is required only if the predictors are not meant to be comparable on the original scaling. There’s no rule that says you must normalize. PCA is a statistical method that gives you a new linear transformation. By itself, it loses nothing. All it does is to give you new principal components. You lose … Read more