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如何在R中编辑刻面包裹的条形图

[英]How to edit facet wrapped bar plots in R

I have a graph here: 我在这里有一个图: 来自站点2-6的变量图

dframe1$row <- row.names(dframe1)
library(reshape2)
dframe2 <- melt(dframe1, id=c("Site", "row"))
ggplot(dframe2, aes(x=as.numeric(row), fill=Site, y=value)) + geom_bar(stat="identity") +       facet_wrap(~variable, scales="free")

Basically I would like to know how I can change the colours so that they are different for each site (represented in the legend), and if it is possible to label the x and y axes individually for each mini graph and to get rid of the as numeric line at the bottom. 基本上,我想知道如何更改颜色,以使每个位置的颜色都不同(在图例中表示),以及是否有可能分别为每个迷你图标记x和y轴并摆脱这些颜色。作为底部的数字线。

Here is the dput() of my data: 这是我的数据的dput():

structure(list(Site = c(2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 4L, 
4L, 4L, 4L, 5L, 5L, 6L, 6L, 6L), weight = c(0.193, 0.249, 0.263, 
0.262, 0.419, 0.204, 0.311, 0.481, 0.326, 0.657, 0.347, 0.239, 
0.416, 0.31, 0.314, 0.277, 0.302, 0.403), cell.count = c(2530000, 
729000, 336000, 436000, 292000, 0, 2e+05, 6450000, 2e+05, 18700000, 
7430000, 9920000, 22700000, 21600000, 227000, 169000, 5e+05, 
283000), eleocyte = c(1270000, 17, 7.3, 264000, 0, 0, 2e+05, 
0, 2e+05, 2270000, 0, 9920000, 22700000, 442, 153000, 169000, 
5e+05, 283000), lambda.max = c(459L, 459L, 459L, 459L, 462L, 
462L, 462L, 462L, 462L, 465L, 465L, 465L, 465L, 490L, 490L, 475L, 
475L, 475L), avepb.ppm = c(390.2, 373.3, 340.13, 403.2, 248.53, 
206.7, 238.5, 190.6, 597.2, 206.8, 174.4, 186.3, 138.5, 269.55, 
58.1, 5.225, 4.02, 6.85), aveworm.pb.ppm = c(9.59, 9.446, 4.193, 
21.9, 1.66, 7.415, 13.11, 3.01, 51.5, 5.985, 4.705, 26.38, 2.38, 
4.44, 4.67, 0.11, 0.085, 0.096), aveworm.g = c(0.09125, 0.264, 
14.699, 0.2425, 0.4793, 0.051, 0.0635, 0.0465, 0.2645, 0.0559, 
0.0795, 0.05765, 0.0846, 0.457, 0.0625, 0.0535, 0.1576, 0.16)), .Names = c("Site", 
"weight", "cell.count", "eleocyte", "lambda.max", "avepb.ppm", 
"aveworm.pb.ppm", "aveworm.g"), class = "data.frame", row.names = c(NA, 
-18L))

To change the colors you need to tell ggplot that Site is a factor (as @user20650 pointed out in the comments). 要更改颜色,您需要告诉ggplot网站是一个因素(正如@ user20650在注释中指出的那样)。

You already have individual axes for the mini graphs because you specified scales = "free" in facet_wrap() . 因为在facet_wrap()指定scales = "free"facet_wrap()您已经具有用于迷你图的各个轴。

To get rid of the as.numeric(row) label at the bottom of your graph you can specify that you do not want text there with the theme() statement. 为了摆脱图形底部的as.numeric(row)标签,您可以使用theme()语句指定您不希望在其中放置文本。 You could also achieve this by adding a blank label with p <- p + xlab("") instead of the theme() line. 您也可以通过添加带有p <- p + xlab("")而不是theme()行的空白标签来实现此目的。

This code produces the following figure: 此代码产生下图:

library(ggplot2)
p <- ggplot(dframe2, aes(x = as.numeric(row), fill = as.factor(Site), y = value))
p <- p + geom_bar(stat = "identity") + facet_wrap(~variable, scales = "free")
p <- p + scale_fill_discrete("Site")
p <- p + theme(axis.title.x = element_blank())
p

在此处输入图片说明

To change the labels of the facets you can change the levels of the variables in your data frame. 要更改构面的标签,可以更改数据框中变量的级别。 See this answer . 看到这个答案 Similar to: 如同:

levels(dframe2$variable) <- c("Weight", "Cell Count", "Eleocyte", "Lambda",
                              "Average PPM", "Average PB PPM", "Average G")

If you use facet_grid instead of facet_wrap you can use a labeller function (in case you do not want to change your data frame). 如果使用facet_grid而不是facet_wrap ,则可以使用贴标签程序功能(以防您不想更改数据框)。 See also the discussion here . 另请参见此处讨论

The Cookbook for R site is also a good resource for faceting questions. RCookbook网站也是解决问题的好资源。

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