question

Can you please show us a small sample of your data? The first 5 or 10 lines should be good enough.
Tim

-----Original Message-----
From: R-help <r-help-bounces at r-project.org> On Behalf Of Carolyn J Miller via R-help
Sent: Monday, January 30, 2023 1:16 PM
To: r-help at r-project.org
Subject: [R] question

[External Email]

Hi guys,

I am using the cor() function to see if there are correlations between March cortisol levels and December cortisol levels and I'm trying to figure out if the function is doing what I want it to do.

Each sample has it's own separate row in the CSV file that I'm working out of. March Cort and December Cort are different columns and they come from separate samples, therefore their values would not be on the same row. There are only 3 individuals that have both December cort values and March cortisol values but they still have different sample ID values (from different seasons) so they are also not on the same row.

 I ran the function twice: once as cor(cortphcor, use = "complete.obs") first

and then cor(cortphcor, use = "pairwise.complete.obs", method = "pearson").

I received the same output both times. I guess what I'm asking is, is the output simply the correlation just for those 3 samples or is the second pairwise. complete.obs version giving me the correlation for all of the cort samples for March against all of the samples for December despite not being on the same row? I'm trying to figure out how many sample values are contributing to the correlation results I'm getting.

Thanks,

Carolyn



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Hallo Carolyn

From what you describe you cannot calculate correlations.

You stated that you have two sets of data, one for December and one for
March and that rows in one set is not related to the rows in another set and
even persons tested in both months do not have their values on the same row.
In that case cor is not appropriate. You should first adjust your data so
that results of those 3 persons are on the same row but even after that only
those 3 values could be evaluated by "cor".

From what you wrote I think that t.test or similar beast is the way you

should take.

But without same data sample I may be wrong.

Cheers
Petr

-----Original Message-----
From: R-help <r-help-bounces at r-project.org> On Behalf Of Carolyn J Miller

via

R-help
Sent: Monday, January 30, 2023 7:16 PM
To: r-help at r-project.org
Subject: [R] question

Hi guys,

I am using the cor() function to see if there are correlations between

March

cortisol levels and December cortisol levels and I'm trying to figure out

if the

function is doing what I want it to do.

Each sample has it's own separate row in the CSV file that I'm working out

of.

March Cort and December Cort are different columns and they come from
separate samples, therefore their values would not be on the same row.

There

are only 3 individuals that have both December cort values and March

cortisol

values but they still have different sample ID values (from different

seasons) so

they are also not on the same row.

 I ran the function twice: once as cor(cortphcor, use = "complete.obs")

first

and then cor(cortphcor, use = "pairwise.complete.obs", method =

"pearson").

I received the same output both times. I guess what I'm asking is, is the

output

simply the correlation just for those 3 samples or is the second pairwise.
complete.obs version giving me the correlation for all of the cort samples

for

March against all of the samples for December despite not being on the

same

row? I'm trying to figure out how many sample values are contributing to

the

correlation results I'm getting.

Thanks,

Carolyn


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