> -Original Message-
> > Assuming your dataset is in a matrix you want to transpose it. So you
> > can go t(mesdonnees) and then call cor on that.
>
> ok, it will still make sense ?
If the idea does not make sense before you do it, it probably won't make more
sense afterwards ...
But
On 05/02/2016 17:10, emmanuelle morin wrote:
ok, it will still make sense ?
Whether it makes sense to correlate the people rather than the variables
depends on the underlying science which (a) we do not know, and (b) is
not really an R question.
Le 05/02/2016 15:31, Michael Dewey a
ok, it will still make sense ?
Le 05/02/2016 15:31, Michael Dewey a écrit :
Assuming your dataset is in a matrix you want to transpose it. So you
can go t(mesdonnees) and then call cor on that.
On 05/02/2016 14:06, emmanuelle morin wrote:
Hello,
I have a set of 12 individuals with thousands
Hello,
I have a set of 12 individuals with thousands of variables measured.
I understand that when I'm using the cor() function on my matrix I'm
calculating the correlation between the different variables according to
their values for the different individuals.
What I'm willing to do is to
-project.org] On Behalf Of emmanuelle morin
Sent: Friday, February 5, 2016 8:07 AM
To: r-help@r-project.org
Subject: [R] pearson correlation matrix
Hello,
I have a set of 12 individuals with thousands of variables measured.
I understand that when I'm using the cor() function on my matrix I'm
calculating
Assuming your dataset is in a matrix you want to transpose it. So you
can go t(mesdonnees) and then call cor on that.
On 05/02/2016 14:06, emmanuelle morin wrote:
Hello,
I have a set of 12 individuals with thousands of variables measured.
I understand that when I'm using the cor() function on
Hi all,
Does any one know how to make Pearson correlation matrix heatmap in R? The
heatmap is a square with highly correlated elements clustered together. And the
heatmap matrix is symmetric with respect to the diagonal line. Many thanks for
your help!
Bill
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