小编bVa*_*bVa的帖子

更改ggplot中的线宽,而不是大小

我看到几篇关于改变 ggplot中线宽的帖子.答案虽然对OP有效且有效,但会改变线条大小.也就是说,ggplot似乎将线条视为一系列单位,并且尺寸增加了每个单元的长度和宽度,使得其他调整更粗糙.

我希望有一种方法可以使线条更宽(更厚)而不会影响长度,反过来又会影响破折号.

我从https://cran.r-project.org/web/packages/ggplot2/vignettes/ggplot2-specs.html借用了一些代码来说明我的意思:

library(ggplot2)

#A simple plot with manually set dashes.
#The first numeral is units of dash length, the second units in the gap in hexadecimal. 
lty <- c("11", "18", "1f", "81", "88", "8f", "f1", "f8", "ff")
linetypes <- data.frame(y = seq_along(lty), lty = lty) 

ggplot(linetypes, aes(0, y)) + 
  geom_segment(aes(xend = 5, yend = y, linetype = lty)) + 
  scale_linetype_identity() + 
  geom_text(aes(label = lty), hjust = 0, nudge_y = 0.2) + …
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r ggplot2

12
推荐指数
1
解决办法
787
查看次数

将标签添加到grid.arrange从多个图中生成的图中

我在这个链接中有一个数据框 ,我有以下代码:

load("Fish11a.rda")
df=Fish11a
df=data.frame(Time=as.factor(df[,6]),RoiID=df[,3],Diameter=df[,8])
df$Time.hours=rep(1:10,each=104*max(df$RoiID),len=nrow(df))
df$Time <- factor(df$Time, levels=rev(levels(df$Time)))
df1=split(df,df$Time.hours)

br=lapply(split(df,df$Time.hours), function(x) {
  br=data.frame(x[c(1,round(nrow(x)*(1:4)/4)),])
  br$Min=c(0,15,30,45,60)
  return(br)
})

hle1=function(dfr,br,tenplot) {
  require(ggplot2)
  require(gtable)
  library(grid)
  
  #start plot
  g=ggplot(data=dfr, aes(x=factor(RoiID), y=Time, fill = Diameter)) +
    theme_minimal()  + coord_fixed(ratio=1) +
    geom_tile(colour = NA, width = 1.5, height = 1)+ 
    scale_fill_gradient(low="black",high="white")+
    theme(axis.title.x=element_blank(),
          axis.text.x=element_blank(),
          axis.ticks.x=element_blank())+
    scale_x_discrete(expand = c(0,0))+
    scale_y_discrete(name="Time (min)",
                     expand = c(0,0),
                     breaks=br$Time,labels=br$Min)+
    theme(axis.ticks.length = unit(0, "lines"))+
    ggtitle(tenplot)+
    theme(plot.title = element_text(size = 10, face = "bold"))
  
  # calculate segment coordinates
  segs <- c(.39, …
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plot r ggplot2

2
推荐指数
1
解决办法
7897
查看次数

标签 统计

ggplot2 ×2

r ×2

plot ×1