我有一些数据(ddply函数的输出),我要存在于用于使用别的地方的xtable。

calqc_table<-structure(list(RUNID = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L), ANALYTEINDEX = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L), ID = structure(1:11, .Label = c("Cal A", "Cal B", "Cal C", 
"Cal D", "Cal E", "Cal F", "Cal G", "Cal H", "Cal High", "Cal Low", 
"Cal Mid"), class = "factor"), mean_conc = c(200.619459644855, 
158.264703128903, 102.469121407733, 50.3551544728544, 9.88296440865076, 
4.41727762501703, 2.53494715706024, 1.00602831741361, 199.065054555735, 
2.48063347296935, 50.1499780776199), sd_conc = c(2.3275711264554, 
NA, NA, NA, NA, NA, NA, 0.101636943231162, 0, 0, 0), nrow = c(3, 
1, 1, 1, 1, 1, 1, 3, 2, 2, 2)), .Names = c("RUNID", "ANALYTEINDEX", 
"ID", "mean_conc", "sd_conc", "nrow"), row.names = c(NA, -11L
), class = "data.frame")
calqc_xtable<-xtable(calqc_table)
print(calqc_xtable,type="html")

这使我的表,以html格式。不过,我想垂直合并了的runid和ANALYTEINDEX列的内容一起其中的值是相同的。任何人都知道怎么做,通过xtable(或一些其他的方式?)

有帮助吗?

解决方案

我会“清理”的原始数据帧替换是等于由NA先前的值的值。 xtable将使这些缺失的值视为空的空间。这看起来不错,如果你没有水平边界线。

cleanf <- function(x){ 
   oldx <- c(FALSE, x[-1]==x[-length(x)])  # is the value equal to the previous?
   res <- x
   res[oldx] <- NA        
   res}

现在我们可以应用此功能,你想清理列:

clean.cols <- c( "RUNID", "ANALYTEINDEX")
calqc_table[clean.cols] <- lapply(calqc_table[clean.cols], cleanf)
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