R:由于UseMethod("getModelInfo",model)中的错误,多行不能正常工作

Question

在R中,我准备了多个ggplot2数字,保存到这样的变量:

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,但我想使用多色图绘制4个数字(2乘2),如R cookbook中所述.

当我收到错误时,我尝试了食谱中的例子,我应该会这样做,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,使用R 2.15.2在Windows 7下,和最新的软件包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      

任何提示,以帮助我解决我的问题将受到高度赞赏.我错过了什么吗？我已经搜索过网络,但没有发现任何有用的信息

- 根据要求,以下是示例数据:

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)

Answer 1

通过使用一个名为的内置函数,可以更容易地做到这一点grid.arrange().您需要安装被调用的包gridExtra才能使用它:

grid.arrange(p1,p2,p3,p4, ncol = 2, main = "Main title")

参考