我使用下面的代码生成以下图表。
# Setup
data(airquality)
# Device start
png(filename = "example.png", units = "cm", width = 20, height = 14, res = 300)
# Define chart
pairs.chrt <- ggpairs(airquality,
lower = list(continuous = "smooth"),
diag = list(continuous = "blank"),
upper = list(continuous = "blank")) +
theme(legend.position = "none",
panel.grid.major = element_blank(),
axis.ticks = element_blank(),
axis.title.x = element_text(angle = 180, vjust = 1, color = "black"),
panel.border = element_rect(fill = NA))
# Device off and print
print(pairs.chrt)
dev.off()
我目前正在尝试修改轴标题的显示。特别是,我希望轴标题为:
举个例子,我想获得与下图所示类似的轴标题(我只对轴标签感兴趣,而不是图表的其他部分): 取自:Geovisualist
我&#39;尝试调整我的语法将axis.title.x
更改为不同的值,但它不会产生所需的结果。例如,使用angle = 45
运行代码。
axis.title.x = element_text(angle = 45, vjust = 1, color = "black"),
panel.border = element_rect(fill = NA))
返回相同的图表。例如,我可以通过更改axis.text.x
来控制轴标签,但我无法找到如何在此图中控制轴标题的答案。任何帮助将不胜感激。
答案 0 :(得分:13)
简短回答:似乎没有一种优雅或简单的方法,但这是一种解决方法。
我挖掘了ggpairs
源代码(在 GGally package source available from CRAN中)以查看实际绘制变量标签的方式。 ggpairs.R
中的相关功能是print.ggpairs
。事实证明,变量标签不是绘图矩阵的每个单元格中ggplot
个对象的一部分 - 即它们不是轴标题,这就是为什么它们不受使用theme(axis.title.x = element_text(angle = 45)
的影响或类似的。
相反,它们似乎使用grid.text
(在包'grid'
中)作为文本注释绘制。 grid.text
使用x, y, hjust, vjust, rot
获取包括rot
(其中gpar
是旋转角度)的参数,以及字体大小,字体系列等等(请参阅?grid.text
),但看起来目前无法将这些参数的不同值传递给print.ggpairs
- 它们被固定为默认值。
您可以通过将变量标签留空来开始处理,然后使用print.ggpairs
代码的相关部分的修改随后添加定制的放置,旋转和样式。我提出了以下修改。 (顺便说一下,因为原始的GGally
源代码是在GPL-3 license下发布的,所以此修改也是如此。)
customize.labels <- function(
plotObj,
varLabels = NULL, #vector of variable labels
titleLabel = NULL, #string for title
leftWidthProportion = 0.2, #if you changed these from default...
bottomHeightProportion = 0.1, #when calling print(plotObj),...
spacingProportion = 0.03, #then change them the same way here so labels will line up with plot matrix.
left.opts = NULL, #see pattern in left.opts.default
bottom.opts = NULL, #see pattern in bottom.opts.default
title.opts = NULL) { #see pattern in title.opts.default
require('grid')
vplayout <- function(x, y) {
viewport(layout.pos.row = x, layout.pos.col = y)
}
numCol <- length(plotObj$columns)
if (is.null(varLabels)) {
varLabels <- colnames(plotObj$data)
#default to using the column names of the data
} else if (length(varLabels) != numCol){
stop('Length of varLabels must be equal to the number of columns')
}
#set defaults for left margin label style
left.opts.default <- list(x=0,
y=0.5,
rot=90,
just=c('centre', 'centre'), #first gives horizontal justification, second gives vertical
gp=list(fontsize=get.gpar('fontsize')))
#set defaults for bottom margin label style
bottom.opts.default <- list(x=0,
y=0.5,
rot=0,
just=c('centre', 'centre'),#first gives horizontal justification, second gives vertical
gp=list(fontsize=get.gpar('fontsize')))
#set defaults for title text style
title.opts.default <- list(x = 0.5,
y = 1,
just = c(.5,1),
gp=list(fontsize=15))
#if opts not provided, go with defaults
if (is.null(left.opts)) {
left.opts <- left.opts.default
} else{
not.given <- names(left.opts.default)[!names(left.opts.default) %in%
names(left.opts)]
if (length(not.given)>0){
left.opts[not.given] <- left.opts.default[not.given]
}
}
if (is.null(bottom.opts)) {
bottom.opts <- bottom.opts.default
} else{
not.given <- names(bottom.opts.default)[!names(bottom.opts.default) %in%
names(bottom.opts)]
if (length(not.given)>0){
bottom.opts[not.given] <- bottom.opts.default[not.given]
}
}
if (is.null(title.opts)) {
title.opts <- title.opts.default
} else{
not.given <- names(title.opts.default)[!names(title.opts.default) %in%
names(title.opts)]
if (length(not.given)>0){
title.opts[not.given] <- title.opts.default[not.given]
}
}
showLabels <- TRUE
viewPortWidths <- c(leftWidthProportion,
1,
rep(c(spacingProportion,1),
numCol - 1))
viewPortHeights <- c(rep(c(1,
spacingProportion),
numCol - 1),
1,
bottomHeightProportion)
viewPortCount <- length(viewPortWidths)
if(!is.null(titleLabel)){
pushViewport(viewport(height = unit(1,"npc") - unit(.4,"lines")))
do.call('grid.text', c(title.opts[names(title.opts)!='gp'],
list(label=titleLabel,
gp=do.call('gpar',
title.opts[['gp']]))))
popViewport()
}
# viewport for Left Names
pushViewport(viewport(width=unit(1, "npc") - unit(2,"lines"),
height=unit(1, "npc") - unit(3, "lines")))
## new for axis spacingProportion
pushViewport(viewport(layout = grid.layout(
viewPortCount, viewPortCount,
widths = viewPortWidths, heights = viewPortHeights
)))
# Left Side
for(i in 1:numCol){
do.call('grid.text',
c(left.opts[names(left.opts)!='gp'],
list(label=varLabels[i],
vp = vplayout(as.numeric(i) * 2 - 1 ,1),
gp=do.call('gpar',
left.opts[['gp']]))))
}
popViewport()# layout
popViewport()# spacing
# viewport for Bottom Names
pushViewport(viewport(width=unit(1, "npc") - unit(3,"lines"),
height=unit(1, "npc") - unit(2, "lines")))
## new for axis spacing
pushViewport(viewport(layout = grid.layout(
viewPortCount, viewPortCount,
widths = viewPortWidths, heights = viewPortHeights)))
# Bottom Side
for(i in 1:numCol){
do.call('grid.text',
c(bottom.opts[names(bottom.opts)!='gp'],
list(label=varLabels[i],
vp = vplayout(2*numCol, 2*i),
gp=do.call('gpar',
bottom.opts[['gp']]))))
}
popViewport() #layout
popViewport() #spacing
}
以下是调用该函数的示例:
require('data.table')
require('GGally')
require('grid')
fake.data <- data.table(test.1=rnorm(50), #make some fake data for demonstration
test.2=rnorm(50),
test.3=rnorm(50),
test.4=rnorm(50))
g <- ggpairs(data=fake.data,
columnLabels=rep('', ncol(fake.data)))
#Set columnLabels to a vector of blank column labels
#so that original variable labels will be blank.
print(g)
customize.labels(plotObj=g,
titleLabel = 'Test plot', #string for title
left.opts = list(x=-0.5, #moves farther to the left, away from vertical axis
y=0.5, #centered with respect to vertical axis
just=c('center', 'center'),
rot=90,
gp=list(col='red',
fontface='italic',
fontsize=12)),
bottom.opts = list(x=0.5,
y=0,
rot=45, #angle the text at 45 degrees
just=c('center', 'top'),
gp=list(col='red',
fontface='bold',
fontsize=10)),
title.opts = list(gp=list(col='green',
fontface='bold.italic'))
)
(这会使一些非常难看的标签 - 仅用于演示!)
我没有修改将标签放在左边和底部以外的地方 - 就像你的Geovisualist示例一样 - 但我认为你可以通过将参数更改为“左边的vplayout
来实现customize.labels
中的“和”底部“代码段”。 x
中的y
和grid.text
坐标是相对于视口定义的,视口将显示区域划分为网格
pushViewport(viewport(layout = grid.layout(
viewPortCount, viewPortCount,
widths = viewPortWidths, heights = viewPortHeights
)))
对vplayout
的调用指定网格的哪个单元格用于定位每个标签。
答案 1 :(得分:12)
grid
对象来完成此操作。
# Plot in current window
# use left to add space at y axis and bottom for below xaxis
# see ?print.ggpairs
print(pairs.chrt, left = 1, bottom = 1)
# Get list of grobs in current window and extract the axis labels
# note if you add a title this will add another text grob,
# so you will need to tweak this so not to extract it
g <- grid.ls(print=FALSE)
idx <- g$name[grep("text", g$name)]
# Rotate yaxis labels
# change the rot value to the angle you want
for(i in idx[1:6]) {
grid.edit(gPath(i), rot=0, hjust=0.25, gp = gpar(col="red"))
}
# Remove extra ones if you want
n <- ncol(airquality)
lapply(idx[c(1, 2*n)], grid.remove)
答案 2 :(得分:2)
我的回答无法解决对角线标签问题,但它会修复叠加层问题。
我目前正在编写的报告存在这个问题,其中轴标题总是在轴上,尤其是在ggpairs中。我结合使用fig.height / fig.width来调整out.height / out.width的组合。另外,这个问题并没有得到解决,但却是一致的。 fig.height / fig.width使标签远离轴但使它们太小而无法读取,out.height / out.width只是使图更大而问题不变。下面给出了我显示的结果:
out.height="400px", out.width="400px",fig.height=10,fig.width=10
之前:有问题的情节
后: