R - Filter rows by columns - column names contained in an other dataframe

Question

An other basic question, but I can't seem to find a solution.

Take mtcars as an example. I would like to know the number of rows, where vs AND am are above 0.5. AND

df<- mtcars
x <- subset(mtcars, (vs > 0.5) & (am > 0.5))

OR

df<- mtcars
x <- subset(mtcars, (vs > 0.5) | (am > 0.5))

Easy so far.

Now I would like to vary exactly which column I want to use for filtering. And the column names I want are contained in an other dataframe. How can I do the filtering? How can I do it so that the column names are compared with OR or AND - that is all the column-row pairs are compared or either column-row pair.

df<- mtcars
colnames <- c("vs","am")
x <- subset(mtcars, mtcars[,colnames] > 0.5)

Does not give right answer... Thanks for help!

Answer 1

不是使用基本 R 的最聪明的解决方案，但我希望你理解方法：

mtcars[apply(mtcars[,colnames] > 0.5,1,function(x){ifelse(TRUE %in% x, TRUE, FALSE)}),]

Answer 2

An easier option is to use rowSums

sum(rowSums((mtcars[, colnames] > 0.5)) == 2)

and

sum(rowSums((mtcars[, colnames] > 0.5)) > 0)

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An equivalent option can be done with lapply and Reduce

lst1 <- lapply(mtcars[colnames], `>`, 0.5)
sum(Reduce(`&`, lst1))
sum(Reduce(`|`, lst1))