How to edit facet wrapped bar plots in R
我在这里有一张图:
1 2 3 4 | 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") |
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),并且是否有可能分别为每个迷你图标记x和y轴并获取删除底部的as数字线。
这是我的数据的dput():
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | 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)) |
要更改颜色,您需要告诉ggplot网站是一个因素(正如@ user20650在评论中指出的那样)。
由于在
要摆脱图形底部的as.numeric(row)标签,可以使用
此代码产生下图:
1 2 3 4 5 6 | 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 |
要更改构面的标签,可以更改数据框中变量的级别。看到这个答案。类似于:
1 2 | levels(dframe2$variable) <- c("Weight","Cell Count","Eleocyte","Lambda", "Average PPM","Average PB PPM","Average G") |
如果使用
R的Cookbook网站也是解决问题的好资源。