Hello,
One of my colleagues sent me a csv file with 12 columns and a lot of rows.
Column1 to Column10 are factors with 2 to 6 levels. Column11 and Column12 are
experimental results.I'm a bit lost with all these data.
I would like- to determine which factors have the most impact, and in which
way, on Column10 (which has to be as high as possible) while Column 11, at the
same time, has to be as low as possible (I hope it is clear for at least one of
you ...).- to find a nice way to plot trends as there are several factors.
Below is a small data.frame from the SixSigma package (4 columns of factors and
2 columns of values). I don't know if it can help you to show me how to "play"
with my data.If not, a package name or a tutorial can also be hepful.
Thanks in advance,Ptit Bleu.
df_test<-read.table(text="pc.col pc.filler pc.batch pc.op pc.volume pc.densityC
1 1 A 16.7533110462178 1.25341925113923C 2 1 B 18.0143546656987
1.11243453179479C 3 1 C 15.6448655396281 1.14110454507519C 1 1 D
18.0281678426422 1.09177192905336C 2 2 A 13.7831255488576 1.1465474843639C 3 2
B 16.758396178001 1.12333920013556C 1 2 C 14.6938147409883 1.34554594406146C 2
2 D 15.1974804312962 1.18442400447752C 3 3 A 14.2077591655389 1.45756680703941C
1 3 B 15.9579675459773 1.18602487934004C 2 3 C 18.1500426178447
1.27641549258776C 3 3 D 14.2297691617968 1.28052785172529B 1 4 A
16.8646535945654 1.30119623444795B 2 4 B 14.2798441018389 1.11228530554194B 3 4
C 16.1341256681412 1.27060268503477B 1 4 D 15.9241734353476 1.34131613229472B 2
5 A 16.8583005443759 1.19909272287678B 3 5 B 16.3449003481023 1.19954395487512B
1 5 C 15.4175473098922 1.54100836814473B 2 5 D 16.7861703759254
1.31241568978863B 3 6 A 15.3079007135867 1.14210653222791B 1 6 B
14.8169564636873 1.21694093094929B 2 6 C 17.268850706
0631 1.2603211001675B 3 6 D 15.6874484539888 1.32986554107345", header=T)
[[alternative HTML version deleted]]
______________________________________________
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
