[英]Produce new multi-column data frame from existing multi-column data frames with logic
I have 3 data frames each with multiple columns.我有 3 个数据框,每个数据框都有多列。 All columns are numeric values, and I would like to produce a fourth with logic like所有列都是数值,我想用逻辑生成第四个
# this doesn't work when data frames have more than one column
d <- ifelse(A > 0, B, C)
However all the samples of ifelse
I've seen produce only a single output column.然而,我见过的所有ifelse
样本只产生一个输出列。 I'd like to operate on all columns.我想对所有列进行操作。 How can I achieve this?我怎样才能做到这一点?
For example, given these data frames例如,给定这些数据帧
pivot <- data.frame(a=c(-1, 1), b=c(1, 1))
low <- data.frame(a=c(2.2, 3.3), b=c(4.4, 5.5))
high <- data.frame(a=c(10.1, 11.2), b=c(12.3, 14.4))
I'd like some expression like我想要一些表达
result <- ifelse(pivot > 0, high, low)
to produce生产
data.frame(a=c(2.2, 11.2), b=c(12.3, 14.4))
Converting to matrix
will solve the case转换为matrix
将解决此问题
as.data.frame(ifelse(pivot > 0, as.matrix(high), as.matrix(low)))
-output -输出
a b
1 2.2 12.3
2 11.2 14.4
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