I have a data frame (df) with some factorized columns say:
col1 (numeric factor) col2 (char factor) col3 (ord factor p < r < c)
1 a r
2 b p
3 c c
Where 1,2,3 are numeric factors, a,b,c are char factors and col3 p,r,c are ord factor column.
Please advise how can I transform all of them in few lines to numbers and chars to make col1 of type numeric, col2 and col3 of type char. And please help me how can I locate ord factor variables in dataframe?
Thanks.
We could do this by looping through the columns, convert to character
and then use type.convert
df1[] <- lapply(df1, function(x) type.convert(as.character(x), as.is = TRUE))
df1 <- data.frame(col1 = c('1', '2', '3'), col2 = c('a', 'b', 'c'),
col3 = ordered(c('p', 'r', 'c')))
用反复试验挖掘一些知识,我认为这是一个不错的解决方案:名称(x [sapply(x,is.ordered)])专家们怎么看?
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