我想并排方框的情节(总和ELISA)按媒体类型。我在其他聊天中看到,我需要把数据融为一体。当我这样做时,我得到以下信息
错误: stat_boxplot需要以下缺失的美学:y
我的数据:
media total ELISA
surface 1.3 2.7
surface 5.2 6.5
surface 0.9 2.9
surface 0.7 2.1
porewater 376.8 651.0
porewater 288.7 308.0
porewater 32.3 63.3
porewater 69.7 184.0
porewater 116.0 11.4
porewater 31.6 51.5
porewater 38.6 97.5
porewater 63.2 152.0
porewater 118.0 254.0
porewater 1147.5 4174.0
porewater 626.6 798.0
porewater 39.2 81.8
porewater 3.3 7.5
porewater 70.3 231.5
porewater 1.7 3.2
sediment 567.0 1454.1
sediment 24.0 70.7
sediment 13.7 23.9
sediment 16.9 105.7
sediment 39.7 5.9
sediment 8.2 17.6
sediment 27.4 85.0
sediment 14.7 30.8我的代码:
library(reshape2)
elisa.m <- melt(elisa, media.vars='media', measure.vars=c('total','ELISA'))
library(ggplot2)
p <- ggplot(elisa.m) +
geom_boxplot(aes(x = media, y=value)) +
stat_boxplot(geom = "errorbar", width = 0.5)我不知道为什么这不管用。我应该把它命名为价值以外的东西吗?
发布于 2019-03-22 16:47:54
映射aes()应该在ggplot()中,以便stat_boxplot继承它。因此,
p <- ggplot(elisa.m, aes(x = media, y = value)) +
geom_boxplot() +
stat_boxplot(geom = "errorbar", width = 0.5)发布于 2019-03-25 07:55:16
myplot = ggplot(elisa.m, aes(x=media, y=measurement))+
geom_boxplot()+
stat_boxplot(geom ='errorbar', width=0.5) +
facet_rep_wrap(~mode, repeat.tick.labels=TRUE)但是,要使此操作正常,必须重新组织数据,以便具有以下格式:
media measurement mode
surface 1.3 total
. total
. total
surface 2.7 elisa
. elisa
. elisa希望它有帮助:)安娜
https://stackoverflow.com/questions/55302870
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