[英]Aggregating factor level counts - by factor
I have been trying to make a table displaying the counts of factor levels by another factor. 我一直试图用另一个因素制作一个显示因子水平计数的表格。 For this, I looked on dozens of pages, questions... trying to use functions in some packages (dplyr, reshape) to get the job done, without any success in using them correctly.
为此,我查看了几十页,问题......尝试在某些软件包中使用函数(dplyr,reshape)来完成工作,没有成功正确使用它们。
That's what I got: 这就是我得到的:
# my data:
var1 <- c("red","blue","red","blue","red","red","red","red","red","red","red","red","blue","red","blue")
var2 <- c("0","1","0","0","0","0","0","0","0","0","1","0","0","0","0")
var3 <- c("2","2","1","1","1","3","1","2","1","1","3","1","1","2","1")
var4 <- c("0","1","0","0","0","0","1","0","1","1","0","1","0","1","1")
mydata <- data.frame(var1,var2,var3,var4)
head(mydata)
Attempt n+1: displays only the total counts of factors by another factor. 尝试n + 1:仅显示因子的总计数。
t(aggregate(. ~ var1, mydata, sum))
[,1] [,2]
var1 "blue" "red"
var2 " 5" "12"
var3 " 5" "18"
var4 " 6" "16"
Attempt n+2: it's the correct format but I couldn't get it to work on more than one factor. 尝试n + 2:这是正确的格式,但我不能让它在多个因素上工作。
library(dplyr)
data1 <- ddply(mydata, c("var1", "var3"), summarise,
N = length(var1))
library(reshape)
df1 <- cast(data1, var1 ~ var3, sum)
df1 <- t(df1)
df1
blue red
1 3 6
2 1 3
3 0 2
What I would like is: 我想要的是:
blue red
var2.0 3 10
var2.1 1 1
var3.1 3 6
var3.2 1 3
var3.3 0 2
var4.0 2 6
var4.1 2 5
How can I get this format? 我怎样才能获得这种格式? So many thanks in advance,
非常感谢提前,
We can melt
the dataset by 'var1' and then use table
我们可以通过'var1'来
melt
数据集然后使用table
library(reshape2)
tbl <- table(transform(melt(mydata, id.var="var1"),
varN = paste(variable, value, sep="."))[c(4,1)])
names(dimnames(tbl)) <- NULL
tbl
#
# blue red
# var2.0 3 10
# var2.1 1 1
# var3.1 3 6
# var3.2 1 3
# var3.3 0 2
# var4.0 2 6
# var4.1 2 5
Or using dplyr/tidyr
, we convert the dataset from 'wide' to 'long' format with gather
, then unite
the columns ('var', 'val') to create 'varV', get the frequency ( tally
) after grouping by 'var1' and 'varV', and then spread
to 'wide' format. 或使用
dplyr/tidyr
,我们把数据集从“宽”到“长”格式与gather
,然后unite
列(“var”或“VAL”)创建“天花病毒”,得到的频率( tally
通过分组之后) 'var1'和'varV',然后spread
到'wide'格式。
library(dplyr)
library(tidyr)
gather(mydata, var, val, -var1) %>%
unite(varV,var, val, sep=".") %>%
group_by(var1, varV) %>%
tally() %>%
spread(var1, n, fill = 0)
# varV blue red
# <chr> <dbl> <dbl>
#1 var2.0 3 10
#2 var2.1 1 1
#3 var3.1 3 6
#4 var3.2 1 3
#5 var3.3 0 2
#6 var4.0 2 6
#7 var4.1 2 5
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