[R] Generating random data with non-linear correlation between two variables
hd625b at gmail.com
Sat Apr 9 00:43:56 CEST 2016
I changed the last 3 lines from v1 and v2 to myData$v1 and myData$v2.
Creating the vectors in not a problem.
Where you will run into issues is when you create the data.frame.
The length of v1 is 1001 and the length of v2 is 651.
The warning message below is telling us that the lengths of v1 and v2
"Shorter vectors are recycled as often as need be until they match the
length of the longest vector."
See section 2.2 of this document for more on recycling.
v1 <- sort(rnorm(500:1500, mean = 1100, sd = 1), decreasing = F)
v2 <- sort(rnorm(300:950, mean = 400, sd = 1), decreasing = F)
myData <- data.frame(cbind(v1, v2))
In cbind(v1, v2) :
number of rows of result is not a multiple of vector length (arg 2)
plot(myData$v1, myData$v2, type = "l")
cor(myData$v1, myData$v2, method = "pearson")
plot(myData, type = 'l')
On 04/08/2016 11:57 AM, Muhammad Bilal wrote:
> Hi All,
> I am new to R and don't know how to achieve it.
> I am interested in generating a hypothetical dataframe that is consisted of say two variables named v1 and v2, based on the following constraints:
> 1. The range of v1 is 500-1500.
> 2. The mean of v1 is say 1100
> 3. The range of v2 is 300-950.
> 4. The mean of v2 is say 400
> 5. There exists a positive trend between these two variables, meaning that as v1 increases, v2 be also increase.
> 6. But the trend should be slightly non-linear. i.e., curved line.
> Is it possible to automatically generate through functions like rnorm.
> Any help will be highly appreciated.
> Many Thanks and
> Kind Regards
> Muhammad Bilal
> Research Assistant and Doctoral Researcher,
> Bristol Enterprise, Research and Innovation Centre (BERIC),
> University of the West of England (UWE),
> Frenchay Campus,
> BS16 1QY
> muhammad2.bilal at live.uwe.ac.uk<mailto:olugbenga2.akinade at live.uwe.ac.uk>
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> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
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