R-RStudio中每页的多个绘图

我有三组降水数据：一组观测数据和两组模型：原始数据和偏差校正数据。每套包含五种型号：

CanESM2、GFDL.ESM2M、MRI.CGCM3、NorESM1.M、inmcm4

以下代码复制了我的数据：

obs <- c(8.12903225806452, 4.65483870967742, 4.00967741935484, 2.82903225806452, 
1.02258064516129, 4.94838709677419, 2.03548387096774, 4.56129032258065, 
6.66451612903226, 10.4129032258065, 3.7741935483871, 9.93870967741936)

uncorrected <- structure(list(CanESM2 = c(3.71099209785461, 6.68828105926514, 
4.2675461769104, 4.29092979431152, 6.47999143600464, 6.30958032608032, 
3.28256869316101, 1.06898427009583, 4.01592206954956, 7.88787031173706, 
10.8663206100464, 9.14756298065186), GFDL.ESM2M = c(4.56643295288086, 
8.36136913299561, 4.6934700012207, 4.62750291824341, 6.34791326522827, 
0.916408598423004, 0.111764870584011, 0.570569038391113, 3.05491662025452, 
3.29908037185669, 5.98263263702393, 7.52161026000977), MRI.CGCM3 = c(3.94400858879089, 
2.48861312866211, 0.663281202316284, 0.422377318143845, 1.49548053741455, 
1.8869035243988, 5.35201597213745, 3.94722390174866, 5.0041446685791, 
6.11909627914429, 6.37435054779053, 5.9401068687439), NorESM1.M = c(8.83542060852051, 
8.36209106445312, 3.22844076156616, 2.86131143569946, 2.05858564376831, 
2.39689040184021, 1.06175291538239, 1.03921580314636, 2.49208211898804, 
6.83605766296387, 7.95251750946045, 4.8852391242981), inmcm4 = c(5.88600730895996, 
8.03514385223389, 3.86212635040283, 1.51728367805481, 3.46821308135986, 
1.30993270874023, 0.497318655252457, 0.589299857616425, 1.63358855247498, 
3.61927103996277, 4.99840354919434, 10.5596942901611)), .Names = c("CanESM2", 
"GFDL.ESM2M", "MRI.CGCM3", "NorESM1.M", "inmcm4"), class = "data.frame", row.names = c(NA, 
-12L))

corrected <- structure(list(CanESM2 = c(4.69295692443848, 6.2362003326416, 
4.48602199554443, 4.21368360519409, 6.02497625350952, 5.94498348236084, 
3.92529225349426, 1.07059073448181, 3.92306709289551, 8.00215721130371, 
10.9688482284546, 9.95723056793213), GFDL.ESM2M = c(6.74847173690796, 
10.7781000137329, 6.89084196090698, 7.5780816078186, 8.96726703643799, 
3.57111501693726, 1.20403492450714, 2.76221370697021, 4.98387718200684, 
5.27927255630493, 8.87845706939697, 9.95864582061768), MRI.CGCM3 = c(5.45173072814941, 
3.37272930145264, 2.20000958442688, 1.12101686000824, 2.67246603965759, 
3.10278224945068, 6.02392053604126, 4.70185708999634, 5.86025190353394, 
6.41299057006836, 7.1956262588501, 7.59840393066406), NorESM1.M = c(9.49540519714355, 
9.88559532165527, 4.86537599563599, 4.56189870834351, 3.85974431037903, 
4.07706260681152, 2.55634951591492, 2.63215637207031, 4.21092081069946, 
7.66422271728516, 8.75070095062256, 5.95497798919678), inmcm4 = c(8.21576976776123, 
11.1972188949585, 6.08181619644165, 3.58428621292114, 5.543297290802, 
3.46666693687439, 1.88991332054138, 1.94812619686127, 3.71879911422729, 
5.70409107208252, 6.85269260406494, 11.8774194717407)), .Names = c("CanESM2", 
"GFDL.ESM2M", "MRI.CGCM3", "NorESM1.M", "inmcm4"), class = "data.frame", row.names = c(NA, 
-12L))

但是我在RStudio上得到一个错误：

plot.new（）中的错误：图边距太大

我可以在独立的R上得到它，但最终的数字看起来非常糟糕，每个图看起来都“拉伸”

---

如何将所有这些图形与RStudio中可接受的外观结合起来？

问题的原因是，

mar

参数相对于绘图窗口大小较大，正如@shayaa和@Vandenman所说。下面是一组我用于multiplot的

par（）

参数。通过改变Rstudio绘图窗口或输出选项的高度，解决了ylab切割问题

par.old <- par(no.readonly=T)    # save old par

par( mfrow = c(5, 2), mar = c(3, 3, 0.5, 0.5), tcl = -0.3, mgp = c(1.7, 0.4, 0) )

for (i in 1:length(names(uncorrected))) {
  # Plot uncorrected vs obs
  qqplot(as.vector(obs), uncorrected[,i], xlim=c(0,14), ylim=c(0,14),
         xlab=expression("Obs. precip." ~ (mm ~ day^{-1})),
         ylab=expression("Mod. precip." ~ (mm ~ day^{-1})))
  abline(0, 1)
  # Then plot corrected vs obs
  qqplot(as.vector(obs), corrected[,i], xlim=c(0,14), ylim=c(0,14),
         xlab=expression("Obs. precip." ~ (mm ~ day^{-1})),
         ylab=expression("Mod. precip." ~ (mm ~ day^{-1})))
  abline(0, 1)
}

par(par.old)    # read old par  (not necessary)

[已编辑]
我认为不需要使用layout（），除非需要复杂的拆分

par(mfrow = c(3, 4),  mar = c(1.2, 1.2, 0.5, 0.5), tcl = -0.3, mgp = c(1.7, 0.4, 0), 
    oma = c(2.5, 2.5, 0, 0) )

for (i in 1:length(names(uncorrected))) {
  qqplot(as.vector(obs), uncorrected[,i], xlim=c(0,14), ylim=c(0,14), ann=F)
  abline(0, 1)
  legend("topleft", paste0("uncorrected",i), bty="n")  # example
  qqplot(as.vector(obs), corrected[,i], xlim=c(0,14), ylim=c(0,14), ann=F)
  abline(0, 1)
  legend("topleft", paste0("corrected", i), bty="n")   # example
}
for(i in 1:2) plot(0, type="n", ann=F, axes=F) # make two blank graphs

mtext(side=1, expression("Obs. precip." ~ (mm ~ day^{-1})), outer=T, line=1.1)
mtext(side=2, expression("Mod. precip." ~ (mm ~ day^{-1})), outer=T, line=0.6)  

如果要使用layout（），最好使用相同的

par（）

参数，而不使用

mfrow（）

。（以下代码等同于以上代码）

m
plot.new（）中的错误：图形边距过大
可能是与计算机相关的错误。如果只需将Rstudio中的plotwindow调整为尽可能大，然后重新运行代码，是否仍会发生这种情况？如果是，则可能是Rstudio无法在您的计算机上显示绘图。您可以通过在绘图之前调用
x11（）
来解决此问题，以打开绘图的新窗口（如base R所做的），也可以使用以下方法：

pdf('test.pdf')
# make plots
dev.off()

这将创建一个包含绘图的pdf文档。
将
mar
参数更改为
par
图形函数以减小页边距时会发生什么情况？您尝试过multiplot函数了吗？感谢您的帮助，它可以工作！例如，我发现生成的数字太长，无法插入word文档中。相反，我想组织一个矩阵布局来绘制它们。顺便说一下，我正在尝试做一些类似
m的事情，在公共轴标签上做得非常好！这看起来很酷，谢谢！还有一件事：如果我需要在每个情节中添加一个图例怎么办？我在每个绘图命令之后尝试了循环中的
legend（“topleft”，names（un.df[I]），bty=“n”）
，但没有效果……您需要在每个绘图之后放置
legend（）
代码，
qqplot（）
。我编辑以添加图例。
par(mfrow = c(3, 4),  mar = c(1.2, 1.2, 0.5, 0.5), tcl = -0.3, mgp = c(1.7, 0.4, 0), 
    oma = c(2.5, 2.5, 0, 0) )

for (i in 1:length(names(uncorrected))) {
  qqplot(as.vector(obs), uncorrected[,i], xlim=c(0,14), ylim=c(0,14), ann=F)
  abline(0, 1)
  legend("topleft", paste0("uncorrected",i), bty="n")  # example
  qqplot(as.vector(obs), corrected[,i], xlim=c(0,14), ylim=c(0,14), ann=F)
  abline(0, 1)
  legend("topleft", paste0("corrected", i), bty="n")   # example
}
for(i in 1:2) plot(0, type="n", ann=F, axes=F) # make two blank graphs

mtext(side=1, expression("Obs. precip." ~ (mm ~ day^{-1})), outer=T, line=1.1)
mtext(side=2, expression("Mod. precip." ~ (mm ~ day^{-1})), outer=T, line=0.6)  

m <- matrix(c(1:10, 0, 0), byrow=T, ncol=4)
layout(m)

par( mar = c(1.2, 1.2, 0.5, 0.5), tcl = -0.3, mgp = c(1.7, 0.4, 0), 
     oma = c(2.5, 2.5, 0, 0) )

for (i in 1:length(names(uncorrected))) {
  qqplot(as.vector(obs), uncorrected[,i], xlim=c(0,14), ylim=c(0,14), ann=F)
  abline(0, 1)
  legend("topleft", paste0("uncorrected",i), bty="n")  # example
  qqplot(as.vector(obs), corrected[,i], xlim=c(0,14), ylim=c(0,14), ann=F)
  abline(0, 1)
  legend("topleft", paste0("corrected", i), bty="n")   # example
}

mtext(side=1, expression("Obs. precip." ~ (mm ~ day^{-1})), outer=T, line=1.1)   
mtext(side=2, expression("Mod. precip." ~ (mm ~ day^{-1})), outer=T, line=0.6)  

pdf('test.pdf')
# make plots
dev.off()