请考虑以下data.frame
和图表:
library(ggplot2)
library(scales)
df <- data.frame(L=rep(LETTERS[1:2],each=4),
l=rep(letters[1:4],2),
val=c(96.5,1,2,0.5,48,0.7,0.3,51))
# L l val
# 1 A a 96.5
# 2 A b 1.0
# 3 A c 2.0
# 4 A d 0.5
# 5 B a 48.0
# 6 B b 0.7
# 7 B c 0.3
# 8 B d 51.0
ggplot(df,aes(x=L,y=val,fill=l)) +
geom_bar(stat="identity") +
geom_text(aes(label=percent(val/100)),position=position_stack(vjust =0.5))
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请考虑以下示例:
require(tibble)
require(dplyr)
set.seed(42)
tbl <- data_frame(id = letters[1:10], val = c(runif(5), NA, runif(4)))
tbl
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# A tibble: 10 × 2
id val
<chr> <dbl>
1 a 0.9148060435
2 b 0.9370754133
3 c 0.2861395348
4 d 0.8304476261
5 e 0.6417455189
6 f NA
7 g 0.5190959491
8 h 0.7365883146
9 i 0.1346665972
10 j 0.6569922904
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我想排序tibble
的val
,把NA
第一个:
tbl %>%
arrange(val)
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# A tibble: 10 × 2
id val
<chr> <dbl>
1 i 0.1346665972
2 c …
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