我使用gridExtra包创建了一个表：
require("gridExtra")
# Prepare data frame
col1 = c(rep("A", 3), rep("B", 2), rep("C", 5))
col2 = c(rep("1", 4), rep("2", 3), rep("3", 3))
col3 = c(1:10)
df = data.frame(col1, col2, col3)
# Create table
grid.arrange(tableGrob(df, show.rownames=F))
输出：
我想摆脱重复的行条目并实现看起来像这样的跨越条目（此图像是用 Photoshop 制作的模型）：
任何想法如何在 R 中以编程方式实现这一点？
我会使用 gtable，并利用它更灵活的框架，
require(gtable)
require(plyr)
## build a rectGrob with parameters
cellRect <- function(fill=NA)
rectGrob(gp=gpar(fill=fill, col=NA))
cellText <- function(label, colour="black",
hjust=c("left", "center", "right"), ...) {
hjust <- match.arg(hjust)
x <- switch(hjust,
"left" = 0,
"center"=0.5,
"right"=1)
textGrob(label, x=x, hjust=x, gp=gpar(col=colour, ...))
}
rowMax_units <- function(m){
do.call(unit.c, apply(m, 1, function(l)
max(do.call(unit.c, lapply(l, grobHeight)))))
}
colMax_units <- function(m){
do.call(unit.c, apply(m, 2, function(l)
max(do.call(unit.c, lapply(l, grobWidth)))))
}
findHeights <- function(l)
do.call(unit.c, lapply(l,grobHeight))
findWidths <- function(l)
do.call(unit.c, lapply(l,grobWidth))
## NAs are used to indicate grobs that span multiple cells
gtable_colheader <- function(header, n = NULL,
padding=unit(rep(5,5),"mm"), ...){
type <- 2L
if(is.null(n)) n <- max(apply(header, type, length))
start <- alply(header, type, function(s) which(!is.na(s), TRUE))
end <- llply(start, function(s) c(s[-1], n+1) - 1 )
fixed <- rep(seq_along(start), sapply(start, length)) # t,b for rows, l,r for cols
label <- header[!is.na(header)]
d <- data.frame(label = label,
start=unlist(start), end=unlist(end), fixed, fixed,
stringsAsFactors=FALSE)
names(d) <- c("label","t","b","l","r")
## make grobs
d$grobs <- lapply(d$label, cellText, hjust="center")
d$widths <- lapply(d$grobs, grobWidth)
d$heights <- lapply(d$grobs, grobHeight)
widths <- dlply(d, names(d)[4], # t if type==1, l if type==2
function(d) width=do.call(unit.c, d$widths))
heights <- dlply(d, names(d)[4],
function(d) heights=do.call(unit.c, d$heights))
## extract widths and heights relevant to the layout
attr(d, "widths") <- do.call(unit.c, lapply(widths, max))
attr(d, "heights") <- heights[[which(sapply(heights, length) == n)]]
## create gtable
g <- gtable()
g <- gtable_add_cols(g, attr(d,"widths") + padding[1])
g <- gtable_add_rows(g, attr(d,"heights")+ padding[2])
## vertical/horizontal separators
sgh <- segmentsGrob(x0 = unit(0, "npc"), y0 = unit(0, "npc"),
x1 = unit(1, "npc"), y1 = unit(0, "npc"),
gp=gpar(lwd=2, col="white"))
sgv <- segmentsGrob(x0 = unit(1, "npc"), y0 = unit(0, "npc"),
x1 = unit(1, "npc"), y1 = unit(1, "npc"),
gp=gpar(lwd=2, col="white"))
d2 <- subset(d, b < n)
g <- with(d2, gtable_add_grob(g, replicate(length(d2$grobs), sgh, simplify=FALSE),
t, l, b, r, z=1, name="seph"))
g <- gtable_add_grob(g, replicate(ncol(g)-1, sgv, simplify=FALSE),
t=1, b=nrow(g),l=seq.int(ncol(g)-1), z=1, name="sepv")
g <- with(d, gtable_add_grob(g, grobs, t, l, b, r, z=0, name="text"))
g <- gtable_add_grob(g, rectGrob(gp=gpar(fill="grey90", col="white")), t=1, l=1,
b=nrow(g), r=ncol(g), z=-Inf, name="rect")
g
}
v <- cbind(c("A", NA, NA, "B", NA, "C", NA, NA, NA, NA),
c(1, NA, NA, NA, 2, NA, NA, 3, NA, NA),
seq(1,10))
g2 <- gtable_colheader(v)
header <- paste0("col #",1:3)
head <- lapply(header, textGrob, gp=gpar(fontface="bold"))
w <- do.call(unit.c, lapply(header, stringWidth)) + unit(5, "mm")
h <- max(do.call(unit.c, lapply(head, grobHeight))) + unit(5, "mm")
hg <- gtable_matrix("header", widths=w, heights=h,
grobs=matrix(head, nrow=1))
grid.newpage()
grid.draw(gtable:::rbind_gtable(hg, g2, size="first"))
require(grid)
require(gridExtra)
Loading required package: gridExtra
df = data.frame(col1, col2, col3, stringsAsFactors=FALSE)
df2 <- df
df2[] <- lapply(df2, function(col) col <- ifelse( !duplicated(col, fromLast=TRUE), col, ""))
df2
#---------------
col1 col2 col3
1 1
2 2
3 A 3
4 1 4
5 B 5
6 6
7 2 7
8 8
9 9
10 C 3 10
#-------------
grid.arrange(tableGrob(df2, show.rownames=F)) # works
df2[]复制和分配以保留数据帧结构的两步过程。复制参数 fromLast 将“命中”更改为系列中的最后一个而不是第一个。
有了明确的要求，这里是计算第一列位置的代码：
> tapply(df[[1]], df[[1]], FUN=function(x) mean(seq_along(x)))
A B C
2.0 1.5 3.0
这是从您的数据创建 v-matrix 的代码：
v <- as.matrix( as.data.frame( lapply(df,function(col)
ifelse(!duplicated(col), as.character(col), NA))) )
v
col1 col2 col3
[1,] 1 1 1
[2,] NA NA 2
[3,] NA NA 3
[4,] 2 NA 4
[5,] NA 2 5
[6,] 3 NA 6
[7,] NA NA 7
[8,] NA 3 8
[9,] NA NA 9
[10,] NA NA 10
g2 <- gtable_colheader(v)
header <- colnames(v)
head <- lapply(header, textGrob, gp=gpar(fontface="bold"))
w <- do.call(unit.c, lapply(header, stringWidth)) + unit(5, "mm")
h <- max(do.call(unit.c, lapply(head, grobHeight))) + unit(5, "mm")
hg <- gtable_matrix("header", widths=w, heights=h,
grobs=matrix(head, nrow=1))
grid.newpage()
grid.draw(gtable:::rbind_gtable(hg, g2, size="first"))