R:如何一次重命名 5 data.frames 的列名,每列有 35 列?

R: How can one rename columnname of 5 data.frames with 35 columns each at once?

我正在使用下面的 R 代码来模拟时间序列数据,准确地说是 1 阶移动平均线。我正在改变 3 个变量,它们是:

N = 系列中的元素数 c(15L, 20L, 30L, 50L, 100L) SD = 标准偏差 c(1, 2, 3, 4, 5) ^ 2 theta = \thetac(0.2, 0.4, 0.6, 0.8, 0.9, 0.95, 0.99) 我有 5 个 data.frames,您将在 R 工作目录中将其视为 .csv 文件。每个 data.frame 有 35 列我想正确标记。

MWE

N <- c(15L, 20L, 30L, 50L, 100L)
SD = c(1, 2, 3, 4, 5) ^ 2
theta = c(0.2, 0.4, 0.6, 0.8, 0.9, 0.95, 0.99)

res <- vector('list', length(N))
names(res) <- paste('N', N, sep = '_')

set.seed(123L)
for (i in seq_along(N)){
  res[[i]] <- vector('list', length(SD))
  names(res[[i]]) <- paste('SD', SD, sep = '_')

  ma <- matrix(NA_real_, nrow = N[i], ncol = length(theta)) 

  for (j in seq_along(SD)){
    wn <- rnorm(N[i], mean = 0, sd = SD[j])
    ma[1:2, ] <- wn[1:2]

    for (k in 3:N[i]){
      ma[k, ] <- wn[k - 1L] * theta + wn[k]
        }
    colnames(ma) <- paste('ma_theta', theta, sep = '_')
    res[[i]][[j]] <- ma
  }
}

res1 <- lapply(res, function(dat) do.call(cbind,  dat))
sapply(names(res1), function(nm) write.csv(res1[[nm]], 
                                       file = paste0(nm, ".csv"), row.names = FALSE, quote = FALSE))

我希望列名不仅与 theta 相关而且与 SD 相关。

我希望列名的标签如下所示。我不希望 2 个或更多列具有相同的标签。我希望ma_SD_1...(with theta=(0.2, 0.4, 0.6, 0.8, 0.9, 0.95, 0.99))在ma_SD_4...之前(with theta=(0.2, 0.4, 0.6, 0.8, 0.9, 0.95, 0.99))在ma_SD_9...之前(with theta=(0.2, 0.4, 0.6, 0.8, 0.9, 0.95, 0.99))在[=23之前] =](theta=(0.2, 0.4, 0.6, 0.8, 0.9, 0.95, 0.99))在ma_SD_25...theta=(0.2, 0.4, 0.6, 0.8, 0.9, 0.95, 0.99))之前。

ma_SD_1_theta_0.2, ma_SD_1_theta_0.4, ma_SD_1_theta_0.6, ma_SD_1_theta_0.8, ma_SD_1_theta_0.9, ma_SD_1_theta_0.95, ma_SD_1_theta_0.99

ma_SD_4_theta_0.2, ma_SD_4_theta_0.4, ma_SD_4_theta_0.6, ma_SD_4_theta_0.8, ma_SD_4_theta_0.9, ma_SD_4_theta_0.95, ma_SD_4_theta_0.99

ma_SD_9_theta_0.2, ma_SD_9_theta_0.4, ma_SD_9_theta_0.6, ma_SD_9_theta_0.8, ma_SD_9_theta_0.9, ma_SD_9_theta_0.95, ma_SD_9_theta_0.99

ma_SD_1_theta_0.2, ma_SD_16_theta_0.4, ma_SD_16_theta_0.6, ma_SD_16_theta_0.8, ma_SD_16_theta_0.9, ma_SD_16_theta_0.95, ma_SD_16_theta_0.99

这应该在您在 SD 上迭代(使用 j)时执行:

colnames(ma) <- paste('ma_SD',SD[j],'theta', theta, sep = '_')