Request for aid in first R script
Dear Kepler, Yes, R can do this all. But this is is to help you when you get stuck, not to do all the work for you... You are asking basic stuff, so any introduction book on R should contain sufficient information to get you going. So please do read on of those first. Best regards, ir. Thierry Onkelinx Statisticus / Statistician Vlaamse Overheid / Government of Flanders INSTITUUT VOOR NATUUR- EN BOSONDERZOEK / RESEARCH INSTITUTE FOR NATURE AND FOREST Team Biometrie & Kwaliteitszorg / Team Biometrics & Quality Assurance thierry.onkelinx at inbo.be Havenlaan 88 bus 73, 1000 Brussel www.inbo.be /////////////////////////////////////////////////////////////////////////////////////////// To call in the statistician after the experiment is done may be no more than asking him to perform a post-mortem examination: he may be able to say what the experiment died of. ~ Sir Ronald Aylmer Fisher The plural of anecdote is not data. ~ Roger Brinner The combination of some data and an aching desire for an answer does not ensure that a reasonable answer can be extracted from a given body of data. ~ John Tukey /////////////////////////////////////////////////////////////////////////////////////////// <https://www.inbo.be> Op ma 19 nov. 2018 om 11:39 schreef Rui Fernandes <rui.kepler at gmail.com>:
Good morning
My compliments to all.
Since I'm a newbie on R, I was wondering if you could help me to achieve a
small project that I think it's possible with this project (I cant seem to
find a similar tool)
I have a data file with about 2000 value lines, organized like this:
x;y;z;j;
...
I want to find diferent correlations (linear regression with
Levenberg?Marquardt or least squares) between the x values and a y or z
pair. For instance, between x and y.
So, what I'm trying to do is:
1) Load the file (is there a limit on the load size? If yes, can I load it
in sequence by parts?)
2) Define 100 sets of 20 values each (also sequence, from x1 to xn: first
from x1 to x20, next from x21 to x41, etc.) or process one set at the time
in case of file limits in 1)
3) Define a fitting function
4) Use the same function model to find the best fit for each set
5) Save in a file, the coefficients of those fits.
Can this be done accurately with R?
It would save me a lot of programming. The files will soon have about 1
million lines, which is a lot to process.
I would apreciate very much if someone could help me.
Kind regards
Kepler
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