Quickly reproduce data
I am new-ish to SO and I am curious how you quickly read in data from the questions people post. When someone posts an example data set that looks like this:
x=rnorm(100,0,1)
y=rnorm(100,0,1)
d=cbind(x,y)
I can quickly reproduce it in R. However, I often see people post example data that looks like:
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
and I have a hard time quickly reading this into R to answer their question..
I don't mean to divulge trade secrets, but you can also consider using soread() from the "overflow" package.
With it, you literally copy the sample dataset (ctrl + c) and type soread() and a data.frame named "mydf" would be created in your workspace.
library(overflow)
## Copy the relevant data, including the header
soread() ## can pass some other arguments, but this is generally enough
Example, with the data you shared:
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
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