我是新手,我很好奇你如何快速阅读人们发布的问题数据。当有人发布如下所示的示例数据集时:
x=rnorm(100,0,1)
y=rnorm(100,0,1)
d=cbind(x,y)
我可以在R中快速重现它。但是,我经常看到人们发布的示例数据如下:
df
a b c d e f g h i j k l m n o
1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0
2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0
4 0 1 1 0 0 0 1 0 0 0 0 0 0 0 0
5 0 1 0 0 1 1 0 0 0 1 1 0 0 1 0
6 0 1 0 0 1 1 0 0 0 0 0 1 1 0 0
7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
8 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0
9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
10 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0
11 0 1 1 1 0 1 0 0 0 1 0 0 0 0 1
12 0 1 0 0 0 1 0 1 0 1 0 0 1 0 0
13 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0
14 0 1 0 1 0 1 1 0 0 1 1 1 1 1 0
15 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
16 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0
17 0 1 0 1 1 1 0 0 0 0 0 1 1 1 0
18 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
19 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
20 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0
我很难快速将其读入R以回答他们的问题。
答案 0 :(得分:0)
我并不是要泄露商业机密,但您也可以考虑使用the "overflow" package中的soread()
。
有了它,你就可以复制样本数据集( ctrl + c )并输入soread()
和名为“mydf”的data.frame
在您的工作区中创建。
library(overflow)
## Copy the relevant data, including the header
soread() ## can pass some other arguments, but this is generally enough
示例,包含您分享的数据:
library(overflow)
head(soread()) ## Just using `head` to minimize output
# data.frame “mydf” created in your workspace
# a b c d e f g h i j k l m n o
# 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0
# 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
# 3 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0
# 4 0 1 1 0 0 0 1 0 0 0 0 0 0 0 0
# 5 0 1 0 0 1 1 0 0 0 1 1 0 0 1 0
# 6 0 1 0 0 1 1 0 0 0 0 0 1 1 0 0
## Was the object really created?
ls()
# [1] "mydf"
head(mydf)
# a b c d e f g h i j k l m n o
# 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0
# 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
# 3 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0
# 4 0 1 1 0 0 0 1 0 0 0 0 0 0 0 0
# 5 0 1 0 0 1 1 0 0 0 1 1 0 0 1 0
# 6 0 1 0 0 1 1 0 0 0 0 0 1 1 0 0