On Apr 19, 2013, at 4:51 AM, Nilesh Gupta wrote: > I used this link > http://r.789695.n4.nabble.com/model-frame-and-formula-mismatch-in-model-matrix-td4664093.html
But you said 50 independent variables, and that was probably someone's (failed) effort to submit 50 _dependent_ variables. What is the real problem? -- David. > Regards > > The woods are lovely, dark and deep > But I have promises to keep > And miles before I go to sleep > And miles before I go to sleep > ----- > > > On Fri, Apr 19, 2013 at 2:19 PM, David Winsemius <dwinsem...@comcast.net> > wrote: > > On Apr 19, 2013, at 12:40 AM, Nilesh Gupta wrote: > > > lm() does not accomodate more than 50 independent variables > > What is your source for this misinformation? > > > dat <- as.data.frame(matrix(rnorm(51000), ncol=51) ) > > names(dat) > [1] "V1" "V2" "V3" "V4" "V5" "V6" "V7" "V8" "V9" "V10" "V11" "V12" > "V13" "V14" "V15" "V16" "V17" "V18" > [19] "V19" "V20" "V21" "V22" "V23" "V24" "V25" "V26" "V27" "V28" "V29" "V30" > "V31" "V32" "V33" "V34" "V35" "V36" > [37] "V37" "V38" "V39" "V40" "V41" "V42" "V43" "V44" "V45" "V46" "V47" "V48" > "V49" "V50" "V51" > > lm(V1 ~ ., dat=dat) > > Call: > lm(formula = V1 ~ ., data = dat) > > Coefficients: > (Intercept) V2 V3 V4 V5 V6 > V7 V8 > -0.0089517 -0.0427225 -0.0754946 -0.0002903 -0.0083482 0.0324383 > -0.0194980 -0.0151008 > V9 V10 V11 V12 V13 V14 > V15 V16 > 0.0255324 -0.0167399 0.0476841 -0.0222229 0.0720990 -0.0174327 > -0.0104261 0.0024625 > V17 V18 V19 V20 V21 V22 > V23 V24 > -0.0086276 -0.0274867 -0.0345897 0.0209116 0.0368201 -0.0027364 > 0.0090916 0.0198854 > V25 V26 V27 V28 V29 V30 > V31 V32 > -0.0083732 -0.0216937 0.0586361 -0.0530041 0.0402765 0.0073514 > 0.0295976 -0.0641553 > V33 V34 V35 V36 V37 V38 > V39 V40 > 0.0491071 -0.0261259 0.0364740 0.0070261 -0.0159851 -0.0373357 > 0.0506756 -0.0383495 > V41 V42 V43 V44 V45 V46 > V47 V48 > 0.0054945 0.0089468 -0.0050151 -0.0184369 0.0019926 -0.0177631 > 0.0282828 0.0353523 > V49 V50 V51 > -0.0382634 0.0545654 0.0101398 > > > dat <- as.data.frame(matrix(rnorm(101000), ncol=101) ) > > lm(V1 ~ ., dat=dat) > > Call: > lm(formula = V1 ~ ., data = dat) > > Coefficients: > (Intercept) V2 V3 V4 V5 V6 > V7 V8 > 0.021065 -0.015988 -0.008273 0.049849 0.014874 0.012352 > -0.054584 0.004542 > V9 V10 V11 V12 V13 V14 > V15 V16 > -0.017186 0.018006 -0.009707 -0.007382 0.044886 -0.051122 > -0.026910 -0.048929 > V17 V18 V19 V20 V21 V22 > V23 V24 > -0.008129 0.022129 -0.063525 0.026683 0.013424 -0.010145 > -0.046046 0.024025 > V25 V26 V27 V28 V29 V30 > V31 V32 > -0.003529 -0.038270 0.043657 0.049855 0.010691 0.041217 > -0.012596 0.018302 > V33 V34 V35 V36 V37 V38 > V39 V40 > 0.040225 -0.012751 -0.062677 -0.002810 -0.002574 -0.024137 > 0.021324 -0.041520 > V41 V42 V43 V44 V45 V46 > V47 V48 > -0.076482 0.009063 0.067097 -0.042554 -0.013789 0.002865 > 0.017325 -0.076860 > V49 V50 V51 V52 V53 V54 > V55 V56 > -0.007003 -0.007315 0.030270 0.022066 -0.002224 -0.056534 > 0.013705 -0.003609 > V57 V58 V59 V60 V61 V62 > V63 V64 > -0.044580 -0.037543 0.015745 0.035250 -0.017117 0.072470 > 0.004398 -0.015923 > V65 V66 V67 V68 V69 V70 > V71 V72 > 0.012864 -0.062752 -0.038437 -0.019586 0.019871 -0.068398 > -0.111778 0.021416 > V73 V74 V75 V76 V77 V78 > V79 V80 > 0.036849 -0.009103 0.037790 0.021883 -0.034990 -0.014917 > -0.003854 0.001760 > V81 V82 V83 V84 V85 V86 > V87 V88 > -0.001812 0.003942 0.021810 -0.013984 -0.030446 0.049187 > 0.008392 0.026965 > V89 V90 V91 V92 V93 V94 > V95 V96 > 0.057301 0.004190 0.055505 -0.046006 -0.019080 -0.098889 > -0.010891 -0.002729 > V97 V98 V99 V100 V101 > 0.024939 -0.029847 0.063578 -0.061667 -0.022163 > > > system.time( lm(V1 ~ ., dat=dat) ) # with the 101 column dataframe > user system elapsed > 0.060 0.008 0.076 > > Sorry to give you such a Frost-y reception, but you are being somewhat ... > what's the right word... sleepy? > > -- > David. > > > > > > The woods are lovely, dark and deep > > But I have promises to keep > > And miles before I go to sleep > > And miles before I go to sleep > > ----- > > > > > > On Fri, Apr 19, 2013 at 12:26 PM, peter dalgaard <pda...@gmail.com> wrote: > > > >> > >> On Apr 18, 2013, at 21:24 , Nilesh Gupta wrote: > >> > >>> Hello all > >>> > >>> Is there a method/package in R in which I can do regressions for more > >> than > >>> 50 independent variables ? > >> > >> What's wrong with lm() et al.? > >> > >> -- > > > David Winsemius > Alameda, CA, USA > > ______________________________________________ > R-help@r-project.org mailing list > 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. > David Winsemius Alameda, CA, USA [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list 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.
