我有以下代码在ggplot2的一些旧2.1版之前的版本中完美运行:
dd <-
structure(list(Dataset = structure(c(1L, 1L, 1L, 1L, 1L, 1L), .Label = c("train",
"validation"), class = "factor"), Iterations = c(4L, 2L, 3L,
4L, 1L, 3L), L1 = c(1e-07, 1e-07, 1e-07, 1e-06, 1e-07, 1e-06),
L2 = c(1e-05, 1e-05, 1e-05, 1e-05, 1e-05, 1e-05), Accuracy = c(0.2079478,
0.2079829, 0.2081201, 0.2086698, 0.2091378, 0.2093453), Loss = c(0.4468469,
0.446877, 0.4472973, 0.4485992, 0.4496757, 0.4499354)), .Names = c("Dataset",
"Iterations", "L1", "L2", "Accuracy", "Loss"), row.names = c(NA,
6L), class = "data.frame")
labelAxis <- function(i) {
function(values) {
sapply(values, …I have been struggling with this conundrum all day and getting close, but no cigar. I have two data frames which are the results of two separate socio-economic surveys from two districts within a city. I want to compare columns from these data frames side by side in a bar plot to show the frequencies (counts) of responses to a particular question across both surveys.
The questions asked in each survey were identical. However, they were coded slightly differently and …