在 R 中,我准备了多个ggplot2
图形,它们保存到如下变量中:
flashplot <- ggplot(flash, aes(x=flash$Year, y=flash$Proc))
+ stat_smooth(method="lm", formula = "flash$Proc ~ poly(flash$Year, 2, raw=TRUE)", n=14, level=0.9)
+ geom_point(shape=19) + ylab("Percentage of total existing versions")
+ xlab("Years of Existence") + scale_x_continuous(breaks = c(0,2,4,6,8,10,12,14,16,18,20))
绘制单个图形按预期工作,但我想使用 multiplot 绘制 4 个图形(2 x 2),如R 食谱中所述。
当我遇到错误时,我尝试了食谱中的示例,我认为它可以工作,但它给了我同样的错误:
> multiplot(p1, p2, p3, p4, cols=2)
Error in UseMethod("getModelInfo", model) :
no applicable method for 'getModelInfo' applied to an object of class "c('gg', 'ggplot')"
我在 Windows 7 下使用 R 2.15.2,以及最新的包ggplot2
和coefplot
:
> sessionInfo()
R version 2.15.2 (2012-10-26)
Platform: i386-w64-mingw32/i386 (32-bit)
locale:
[1] LC_COLLATE=German_Austria.1252 LC_CTYPE=German_Austria.1252
[3] LC_MONETARY=German_Austria.1252 LC_NUMERIC=C
[5] LC_TIME=German_Austria.1252
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] coefplot_1.1.8 ggplot2_0.9.3
loaded via a namespace (and not attached):
[1] colorspace_1.2-0 dichromat_1.2-4 digest_0.6.0 grid_2.15.2
[5] gtable_0.1.2 labeling_0.1 MASS_7.3-22 munsell_0.4
[9] plyr_1.8 proto_0.3-9.2 RColorBrewer_1.0-5 reshape2_1.2.2
[13] scales_0.2.3 stringr_0.6.2 useful_1.1.6
任何帮助我解决问题的提示将不胜感激。我错过了什么吗?我已经在网上搜索过,但没有发现任何有用的信息
-- 根据要求,这里是示例数据:
library(ggplot2)
# This example uses the ChickWeight dataset, which comes with ggplot2
# First plot
p1 <-
ggplot(ChickWeight, aes(x=Time, y=weight, colour=Diet, group=Chick)) +
geom_line() +
ggtitle("Growth curve for individual chicks")
# Second plot
p2 <-
ggplot(ChickWeight, aes(x=Time, y=weight, colour=Diet)) +
geom_point(alpha=.3) +
geom_smooth(alpha=.2, size=1) +
ggtitle("Fitted growth curve per diet")
# Third plot
p3 <-
ggplot(subset(ChickWeight, Time==21), aes(x=weight, colour=Diet)) +
geom_density() +
ggtitle("Final weight, by diet")
# Fourth plot
p4 <-
ggplot(subset(ChickWeight, Time==21), aes(x=weight, fill=Diet)) +
geom_histogram(colour="black", binwidth=50) +
facet_grid(Diet ~ .) +
ggtitle("Final weight, by diet") +
theme(legend.position="none") # No legend (redundant in this graph)
multiplot(p1, p2, p3, p4, cols=2)