[R] (no subject)

[Robert Sherry]

Here is one thought. Assign each month a value of 0, 1 or 2. Then do a 
simple linear regression analysis where the value of the month
is the independent variable. You can also do multiple linear regression 
with the value you assigned to the month plus the other factors that
you believe are causing a change to your data. Time is the one that 
comes to my mind. You can do this with the standard R function lm.

I hope this helps.

Bob

On 1/30/2017 9:11 AM, Kwesi Quagraine wrote:
> Hello, I have a data with two variables nodes and index, I want to extract
> 3 months seasons, with a shift of 1 month, that is, DJF, JFM, FMA etc to
> OND. Was wondering how to go about it. Kindly find data sample below, data
> is in csv format.
> Any help will be appreciated.
>
> My data sample;
>
>        era...1.    Node_freq           MEI
> 1   1980-01-01 -0.389855332  0.3394196488
> 2   1980-02-01 -0.728019153  0.2483738232
> 3   1980-03-01 -1.992457784  0.3516954904
> 4   1980-04-01  0.222760284  0.5736836269
> 5   1980-05-01  0.972601798  0.6289249144
> 6   1980-06-01  0.570725954  0.5736836269
> 7   1980-07-01 -0.977966324  0.4120517119
> 8   1980-08-01  0.056128836 -0.0104418383
> 9   1980-09-01  0.987304573 -0.0687520861
> 10  1980-10-01  1.188242495 -0.1403611624
> 11  1980-11-01  1.693037763 -0.0963727298
> 12  1980-12-01  1.173539720 -0.2539126977
> 13  1981-01-01  0.423698206 -0.6140040528
> 14  1981-02-01 -2.208098481 -0.5209122536
> 15  1981-03-01 -0.786830252  0.1133395650
> 16  1981-04-01 -0.110502611  0.3302127675
> 17  1981-05-01 -1.272021820 -0.1894645290
> 18  1981-06-01  0.394292656 -0.3736021538
> 19  1981-07-01  1.452892441 -0.4032687711
> 20  1981-08-01  0.698150002 -0.4441882433
> 21  1981-09-01  0.997106423 -0.1720737534
> 22  1981-10-01  0.247264908 -0.2436828296
> 23  1981-11-01  0.771663876 -0.3909929295
> 24  1981-12-01 -0.316341458 -0.4943145967
>
> Regards,
> ​Kwesi​
>