实质上:
我想绘制一个条形图,显示两个表列的聚合值,我已经设法使用:
err.bar <- ggplot(ss.data, aes(x=pop, y=obs+proc))
err.bar <- err.bar + geom_bar(position="stack", stat = "identity")
err.bar
我想要聚集,不一定是颜色,聚合条的两个部分.
最后,我想通过根据物种对它们进行分组来对颜色进行着色(即,在Excel图表的x轴标签上指示的物种E&C)
我使用的数据类似于:
这是一个可以满足您的需求的解决方案.但请注意,ggplot的设计不允许在单个图中单独使用"阴影"和"颜色"参数.相反,我使用灰色填充颜色对您obs和proc类别进行着色,并且我将物种分组为小平面(而不是以不同方式对它们进行着色).
library(ggplot2)
library(reshape2)
ss.data = data.frame(
pop=c("E1", "E2", "E3", "E4", "E5", "E6", "E7", "C1", "C2", "C3", "C4"),
obs=c(0.0027, 0.0018, 0.0464, 0.0095, 0.0034, 0.0117, 0.017, 0.1178,
0.0449, 0.039, 0.0903),
proc=c(0.0319, 0.0196, 0.0511, 0.0143, 0.0048, 0.0078, 0.0396, 0.1662,
0.074, 0.1681, 0.1358), stringsAsFactors=FALSE)
# Add new column 'species' by removing the trailing digits from 'pop'.
ss.data$species = gsub("\\d", "", ss.data$pop)
# Convert data to long-form with 'melt' from the reshape2 package.
mdat = melt(ss.data, id.vars=c("pop", "species"),
measure.vars=c("obs", "proc"))
plot_1 = ggplot(mdat, aes(x=pop, y=value, fill=variable)) +
theme_bw() +
geom_bar(position="stack", stat="identity") +
scale_fill_manual(values=c("grey50", "grey80")) +
facet_grid(. ~ species, space="free_x", scales="free_x",
labeller=label_both)
ggsave("plot_1.png", plot=plot_1, width=6.5, height=4)
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