(no subject)
Upon trying this method, I get an error ; Error in `$<-.data.frame`(`*tmp*`, "MEImeans", value = c(0.313162987462034, : replacement has 442 rows, data has 444 Any thoughts? Kwesi
On Mon, Jan 30, 2017 at 5:37 PM, PIKAL Petr <petr.pikal at precheza.cz> wrote:
Hi Probably just a small correction. d3 <- embed( dta$MEI, 3) Cheers Petr
-----Original Message----- From: R-help [mailto:r-help-bounces at r-project.org] On Behalf Of Jeff Newmiller Sent: Monday, January 30, 2017 4:19 PM To: r-help at r-project.org; Kwesi Quagraine <starskykwesi at gmail.com> Subject: Re: [R] (no subject) How you proceed depends on how consistent the data are and on what you want to do with those sets of three months after you have identified
them.
One approach is to create a matrix where each row contains the values corresponding to the "second previous", "previous", and "current" months data, respectively using the embed() function. The first two rows would
be
incomplete because the earlier data are missing there: d3 <- embed( dta$MEI ) with which you could compute whatever metric you wanted. For example you could compute rolling means: dta$MEImeans <- rowMeans( d3 ) If your data have missing rows you might need to use the aggregate or merge functions instead. For specific layouts of data or metrics you can find specialized
functions in
various packages. You might want to search using the R "sos" package or Google for your analysis method of choice. -- Sent from my phone. Please excuse my brevity. On January 30, 2017 6:11:48 AM PST, Kwesi Quagraine <starskykwesi at gmail.com> 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?
--
Try not to become a man of success but rather a man of value-Albert
Einstein
University of Cape Coast|College of Agriculture and Natural
Sciences|Department
of Physics|
Team Leader|Recycle Up! Ghana|Technology Without Borders| Other
emails:
kwesi.quagraine at ucc.edu.gh|kwesi.quagraine at teog.de|
Mobile: +233266173582
Skype: quagraine_cwasi
Twitter: @Pkdilly
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Try not to become a man of success but rather a man of value-Albert Einstein University of Cape Coast|College of Agriculture and Natural Sciences|Department of Physics| Team Leader|Recycle Up! Ghana|Technology Without Borders| Other emails: kwesi.quagraine at ucc.edu.gh|kwesi.quagraine at teog.de| Mobile: +233266173582 Skype: quagraine_cwasi Twitter: @Pkdilly [[alternative HTML version deleted]]