我昨天在下面的链接中发布了问题，Emil Bode给了很好的答案！ Looping multiple listed data frames into a single function
但是，我忘记转换一个样本列表，因此在尝试对转换后的数据运行时抛出错误。
#######################################
library(parallel)
library(ade4)
# testing functions ...
d1 <- data.frame(y1 = c(1, 2, 3), y2 = c(4, 5, 6))
d2 <- data.frame(y1 = c(3, 2, 1), y2 = c(6, 5, 4))
d3 <- data.frame(y1 = c(2, 1, 2), y2 = c(5, 6, 4))
spec.list <- list(d1, d2, d3)
d1 <- data.frame(y1 = c(20, 87, 39,7,8,1,1), y2 = c(46, 51, 8,20, 87, 39,0))
d2 <- data.frame(y1 = c(30, 21, 12,1,0,0,2), y2 = c(61, 51, 33,30, 21, 12,21))
d3 <- data.frame(y1 = c(2, 11, 14,10,2,3,5), y2 = c(52, 16, 1,2, 11, 14,66))
env.list <- list(d1, d2, d3)
d1 <- data.frame(y1 = c(0.15, 0.1, 0.9,30, 21), y2 = c(0.46, 0.51, 0.82,30,1))
d2 <- data.frame(y1 = c(0.13, 0.31, 0.9,2, 11), y2 = c(0.11, 0.51, 0.38,1,0.1))
d3 <- data.frame(y1 = c(0.52, 0.11, 0.14,1,5), y2 = c(0.52, 0.36, 0.11,0.7,2))
spat.list <- list(d1, d2, d3)
spec.dudi <- mclapply(spec.list, function(x){
dudi.pca(x, scale = F, scannf = F)
}) # had to transform these data, like this.
output_varpart <- mclapply(1:3, function(x){
varipart(spec.dudi[[x]], env.list[[x]], spat.list[[x]], type = "parametric")
}) # the [mc]lapply function results in failure ( Error in weighted.mean.default(newX[, i], ...) :
'x' and 'w' must have the same length).
# I also checked and the lengths are all the same!!
> length(spec.dudi)
[1] 3
> length(env.list)
[1] 3
> length(spat.list)
[1] 3
这适用于单个数据帧，所以我不确定为什么会这样！与清单有关吗？无论哪种方式，我该如何解决？