On 2017-07-05 11:56, Jim Lemon wrote:
Hi Chin Yi,
If you are trying to correlate "Health" with "Disease", i.e.
cydf<-read.table(text="OTU ID Health Disease
Bacterial 1 0.29 0.34
Bacterial 2 0.25 0.07
Bacterial 3 0.06 0.06
Bacterial 4 0.07 0.09
Bacterial 5 0.02 0.05",
header=TRUE)
print(cor(cydf$Health,cydf$Disease))
[1] 0.7103517
If you are getting that error, it probably means that either "Health"
or "Disease" or perhaps both have been read in as a factor. To test
this:
is.factor(cydf$Health)
[1] FALSE
is.factor(cydf$Disease)
[1] FALSE
If either of these returns TRUE, that is almost certainly the problem.
Or maybe Chin Yi tried (as it seems)
> cor(cydf)
Error in cor(cydf) : 'x' must be numeric
(with cydf == data): 'OTU' is not numeric.
Follow Jim's advice.
Göran
Jim
On Wed, Jul 5, 2017 at 11:27 AM, SEB140004 Student
<chi...@siswa.um.edu.my> wrote:
Greeting.
Dear Mr/Mrs/Miss,
OTU ID Health Disease
Bacterial 1 0.29 0.34
Bacterial 2 0.25 0.07
Bacterial 3 0.06 0.06
Bacterial 4 0.07 0.09
Bacterial 5 0.02 0.05
Above show the first 6 data sets, may I ask that the reason of R show the
error like "Error in cor(data) : 'x' must be numeric" ? And how to solve
it? Besides, isn't this data can conduct correlation matrix?
Moreover, isn't this data sets can be plot into network? If can, which
package should I use?
Thank you.
Best regards,
Kang Chin Yi
[[alternative HTML version deleted]]
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