I would like to plot this data in R
我想在R中绘制这些数据
item response Freq
count -99 0.000
count -88 0.000
count -77 0.050
count 1 0.039
count 2 0.117
count 3 0.408
count 4 0.385
read -99 0.011
read -88 0.000
read -77 0.117
... ... ...
the x axis should be item (so count, read etc., altogether 19 items), on the y axis should be the Frequencies for each response (so 1,2,3,4,-77,-88,-99). So this would be a "grouped" barchart essentially.
x轴应该是项目(所以计数,读取等,共19项),y轴应该是每个响应的频率(所以1,2,3,4,-77,-88,-99)。所以这将是一个“分组”的条形图。
I am not able to plot this grouped bar chart using R. Until now, i tried it with:
我无法使用R绘制这个分组的条形图。到现在为止,我尝试使用:
library(ggplot2)
ggplot(Data, aes(response, Freq*100, color = item)) +
geom_point(size = 4) + geom_line(size = 1, aes(group = item)) + ggtitle("Items") +
ylab("Frequencies %") + xlab("responses")
require(lattice)
barchart(Freq*100 ~ item, groups=response, Data, xlab="Items", ylab="Frequencies %")
Thanks a lot!
非常感谢!
3 个解决方案
#1
1
You can use following code:
您可以使用以下代码:
library(ggplot2)
ggplot(dat, aes(x=1, y=Freq, fill=factor(response))) +
geom_bar(stat="identity", position="dodge") +
facet_grid(~item) +
scale_fill_grey() +
theme_bw()
The position="dodge"
aligns the bars side-by-side. The facet_grid
uses a new plot for each "item" (i.e. each group that is indicated by the variable named "item"). The scale_fill_grey()
applies grey colours to the bars and the theme_bw()
removes the grey background.
position =“dodge”并排排列。 facet_grid为每个“item”使用一个新的图(即每个由名为“item”的变量指示的组)。 scale_fill_grey()将灰色应用于条形,theme_bw()移除灰色背景。
#2
0
Try this:
尝试这个:
dat <- read.table(header=TRUE, text="item response Freq
count -99 0.000
count -88 0.000
count -77 0.050
count 1 0.039
count 2 0.117
count 3 0.408
count 4 0.385
read -99 0.011
read -88 0.000
read -77 0.117")
Using ggplot2
:
使用ggplot2:
library(ggplot2)
ggplot(dat, aes(x=item, y=Freq, fill=factor(response))) +
geom_bar(stat="identity")
#3
0
Try for black-white-grey graph:
尝试黑白灰图:
barplot(with(ddf, tapply(Freq , list(response, item), mean)), beside=T, xlab="item", ylab="Freq")
#1
1
You can use following code:
您可以使用以下代码:
library(ggplot2)
ggplot(dat, aes(x=1, y=Freq, fill=factor(response))) +
geom_bar(stat="identity", position="dodge") +
facet_grid(~item) +
scale_fill_grey() +
theme_bw()
The position="dodge"
aligns the bars side-by-side. The facet_grid
uses a new plot for each "item" (i.e. each group that is indicated by the variable named "item"). The scale_fill_grey()
applies grey colours to the bars and the theme_bw()
removes the grey background.
position =“dodge”并排排列。 facet_grid为每个“item”使用一个新的图(即每个由名为“item”的变量指示的组)。 scale_fill_grey()将灰色应用于条形,theme_bw()移除灰色背景。
#2
0
Try this:
尝试这个:
dat <- read.table(header=TRUE, text="item response Freq
count -99 0.000
count -88 0.000
count -77 0.050
count 1 0.039
count 2 0.117
count 3 0.408
count 4 0.385
read -99 0.011
read -88 0.000
read -77 0.117")
Using ggplot2
:
使用ggplot2:
library(ggplot2)
ggplot(dat, aes(x=item, y=Freq, fill=factor(response))) +
geom_bar(stat="identity")
#3
0
Try for black-white-grey graph:
尝试黑白灰图:
barplot(with(ddf, tapply(Freq , list(response, item), mean)), beside=T, xlab="item", ylab="Freq")