[mailto:r-help-boun...@r-
> project.org] On Behalf Of ashz
> Sent: Thursday, August 19, 2010 3:02 AM
> To: r-help@r-project.org
> Subject: Re: [R] Linear regression equation and coefficient matrix
>
>
> Dear Greg,
>
> Thanks for the tip. As I am new in R can you please provide me
Dear Greg,
Thanks for the tip. As I am new in R can you please provide me a script how
do to so. It will help my learning process.
Thanks,
Asher
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hz
> Sent: Wednesday, August 18, 2010 8:43 AM
> To: r-help@r-project.org
> Subject: Re: [R] Linear regression equation and coefficient matrix
>
>
> Hi,
>
> Thanks, the cor() works.
>
> Regarding the simple linear regression equation (mainly, the slope
> parameter) an
Hi,
Thanks, the cor() works.
Regarding the simple linear regression equation (mainly, the slope
parameter) and r2. I think I was not writing it well. I need to do it just
for the columns. If I have a, b, c, d columns I wish to compute the relation
of there data, e.g., between a-b, a-c, a-d, b-a
Hmm, after reading one of your other posts, I am thinking you may
*just* want all pairwise combinations. This worked for me:
# Create a sample data frame with 60 named columns
x <- data.frame(matrix(rnorm(1200), ncol = 60, dimnames = list(NULL,
paste("Col", 1:60, sep=''
# calculate the corre
On Wed, Aug 18, 2010 at 6:09 AM, ashz wrote:
>
> Hi,
>
> I have 20*60 data matrix (with some NAs) and I wish to perfom a Pearson
> correlation coefficient matrix as well as simple linear regression equation
The correlation matrix can be readily obtained by calling cor() on the
entire matrix.
>
Hi,
I have 20*60 data matrix (with some NAs) and I wish to perfom a Pearson
correlation coefficient matrix as well as simple linear regression equation
and coefficient of determination (R2) for every possible combination. Any
tip/idea/library/script how do to so.
Thanks,
As hz
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