Dear Jeff,
This is great to me!!! Many, many thanks.
I have also clicked the send plain text mode button and I hope this
message will appear in plain text mode.
Thanks again.
Warmest regards.
Ogbos
On Wed, Nov 28, 2018 at 7:06 AM Jeff Newmiller <jdnew...@dcn.davis.ca.us> wrote:
>
> Thank you for providing a clarifying example. I think a useful function
> for you to get familiar with is the "ave" function. It is kind of like
> aggregate except that it works when the operation you want to apply to the
> group of elements will returns the same number of elements as were given
> to it.
>
> Also, in the future please figure out how to tell gmail to send plain text
> to the mailing list instead of HTML. You were lucky this time, but often
> HTML email gets horribly mangled as it goes through the mailing list and
> gets all the formatting removed.
>
> ###############################
> dta <- read.table( text =
> "n CR WW
> 1 8590 12516
> 2 8641 98143
> 3 8705 98916
> 4 8750 89911
> 5 8685 104835
> 6 8629 121963
> 7 8676 77655
> 1 8577 81081
> 2 8593 83385
> 3 8642 112164
> 4 8708 103684
> 5 8622 83982
> 6 8593 75944
> 7 8600 97036
> 1 8650 104911
> 2 8730 114098
> 3 8731 99421
> 4 8715 85707
> 5 8717 81273
> 6 8739 106462
> 7 8684 110635
> 1 8713 105214
> 2 8771 92456
> 3 8759 109270
> 4 8762 99150
> 5 8730 77306
> 6 8780 86324
> 7 8804 90214
> 1 8797 99894
> 2 8863 95177
> 3 8873 95910
> 4 8827 108511
> 5 8806 115636
> 6 8869 85542
> 7 8854 111018
> 1 8571 93247
> 2 8533 85105
> 3 8553 114725
> 4 8561 122195
> 5 8532 100945
> 6 8560 108552
> 7 8634 108707
> 1 8646 117420
> 2 8633 113823
> 3 8680 82763
> 4 8765 121072
> 5 8756 89835
> 6 8750 104578
> 7 8790 88429
> ",header=TRUE)
>
> # one way to make a grouping vector
> dta$G <- cumsum( c( 1, diff( dta$n ) < 0 )
> )
> # your operation
> fn <- function( x ) {
> m <- mean( x )
> ( x - m ) / m * 100
> }
> # your operation, computing for each group
> gn <- function( x, g ) {
> ave( x, g, FUN = fn )
> }
> # do the computations
> dta$CRpct <- gn( dta$CR, dta$G )
> dta$WWpct <- gn( dta$WW, dta$G )
> dta
> #> n CR WW G CRpct WWpct
> #> 1 1 8590 12516 1 -0.899861560 -85.4932369
> #> 2 2 8641 98143 1 -0.311490540 13.7533758
> #> 3 3 8705 98916 1 0.426857407 14.6493272
> #> 4 4 8750 89911 1 0.946008306 4.2120148
> #> 5 5 8685 104835 1 0.196123673 21.5097882
> #> 6 6 8629 121963 1 -0.449930780 41.3621243
> #> 7 7 8676 77655 1 0.092293493 -9.9933934
> #> 8 1 8577 81081 2 -0.490594182 -10.9385886
> #> 9 2 8593 83385 2 -0.304963951 -8.4078170
> #> 10 3 8642 112164 2 0.263528632 23.2037610
> #> 11 4 8708 103684 2 1.029253336 13.8891155
> #> 12 5 8622 83982 2 0.031490843 -7.7520572
> #> 13 6 8593 75944 2 -0.304963951 -16.5811987
> #> 14 7 8600 97036 2 -0.223750725 6.5867850
> #> 15 1 8650 104911 3 -0.682347538 4.5366096
> #> 16 2 8730 114098 3 0.236197225 13.6908244
> #> 17 3 8731 99421 3 0.247679034 -0.9337985
> #> 18 4 8715 85707 3 0.063970082 -14.5988581
> #> 19 5 8717 81273 3 0.086933701 -19.0170347
> #> 20 6 8739 106462 3 0.339533510 6.0820746
> #> 21 7 8684 110635 3 -0.291966014 10.2401827
> #> 22 1 8713 105214 4 -0.534907614 11.6017662
> #> 23 2 8771 92456 4 0.127203640 -1.9307991
> #> 24 3 8759 109270 4 -0.009784895 15.9040146
> #> 25 4 8762 99150 4 0.024462238 5.1696079
> #> 26 5 8730 77306 4 -0.340840523 -18.0005879
> #> 27 6 8780 86324 4 0.229945042 -8.4350859
> #> 28 7 8804 90214 4 0.503922112 -4.3089157
> #> 29 1 8797 99894 5 -0.500896767 -1.7465519
> #> 30 2 8863 95177 5 0.245600995 -6.3860849
> #> 31 3 8873 95910 5 0.358706717 -5.6651229
> #> 32 4 8827 108511 5 -0.161579602 6.7289318
> #> 33 5 8806 115636 5 -0.399101617 13.7369184
> #> 34 6 8869 85542 5 0.313464428 -15.8628500
> #> 35 7 8854 111018 5 0.143805846 9.1947595
> #> 36 1 8571 93247 6 0.088415855 -11.0088128
> #> 37 2 8533 85105 6 -0.355331643 -18.7792102
> #> 38 3 8553 114725 6 -0.121780328 9.4889267
> #> 39 4 8561 122195 6 -0.028359802 16.6179943
> #> 40 5 8532 100945 6 -0.367009209 -3.6621512
> #> 41 6 8560 108552 6 -0.040037368 3.5976637
> #> 42 7 8634 108707 6 0.824102496 3.7455895
> #> 43 1 8646 117420 7 -0.816125860 14.4890796
> #> 44 2 8633 113823 7 -0.965257293 10.9818643
> #> 45 3 8680 82763 7 -0.426089807 -19.3028471
> #> 46 4 8765 121072 7 0.549000328 18.0499220
> #> 47 5 8756 89835 7 0.445755490 -12.4073713
> #> 48 6 8750 104578 7 0.376925598 1.9676287
> #> 49 7 8790 88429 7 0.835791544 -13.7782761
>
> #' Created on 2018-11-27 by the [reprex package](http://reprex.tidyverse.org)
> (v0.2.0).
> ###############################
>
> On Wed, 28 Nov 2018, Ogbos Okike wrote:
>
> > Dear Jim,
> >
> > I don't think my problem is clear the way I put.
> >
> > I have been trying to manually apply the formula to some rows.
> >
> > This is what I have done.
> > I cut and past some rows from 1-7 and save each with a different file as
> > shown below:
> >
> > 1 8590 12516
> > 2 8641 98143
> > 3 8705 98916
> > 4 8750 89911
> > 5 8685 104835
> > 6 8629 121963
> > 7 8676 77655
> >
> >
> > 1 8577 81081
> > 2 8593 83385
> > 3 8642 112164
> > 4 8708 103684
> > 5 8622 83982
> > 6 8593 75944
> > 7 8600 97036
> >
> >
> > 1 8650 104911
> > 2 8730 114098
> > 3 8731 99421
> > 4 8715 85707
> > 5 8717 81273
> > 6 8739 106462
> > 7 8684 110635
> >
> >
> > 1 8713 105214
> > 2 8771 92456
> > 3 8759 109270
> > 4 8762 99150
> > 5 8730 77306
> > 6 8780 86324
> > 7 8804 90214
> >
> >
> > 1 8797 99894
> > 2 8863 95177
> > 3 8873 95910
> > 4 8827 108511
> > 5 8806 115636
> > 6 8869 85542
> > 7 8854 111018
> >
> >
> > 1 8571 93247
> > 2 8533 85105
> > 3 8553 114725
> > 4 8561 122195
> > 5 8532 100945
> > 6 8560 108552
> > 7 8634 108707
> >
> >
> > 1 8646 117420
> > 2 8633 113823
> > 3 8680 82763
> > 4 8765 121072
> > 5 8756 89835
> > 6 8750 104578
> > 7 8790 88429
> >
> > Each of them are then read as:
> > d1<-read.table("dat1",col.names=c("n","CR","WW"))
> > d2<-read.table("dat2",col.names=c("n","CR","WW"))
> > d3<-read.table("dat3",col.names=c("n","CR","WW"))
> > d4<-read.table("dat4",col.names=c("n","CR","WW"))
> > d5<-read.table("dat5",col.names=c("n","CR","WW"))
> > d6<-read.table("dat6",col.names=c("n","CR","WW"))
> > d7<-read.table("dat7",col.names=c("n","CR","WW"))
> >
> > And my formula for percentage change applied as follows for column 2:
> > a1<-((d1$CR-mean(d1$CR))/mean(CR))*100
> > a2<-((d2$CR-mean(d2$CR))/mean(CR))*100
> > a3<-((d3$CR-mean(d3$CR))/mean(CR))*100
> > a4<-((d4$CR-mean(d4$CR))/mean(CR))*100
> > a5<-((d5$CR-mean(d5$CR))/mean(CR))*100
> > a6<-((d6$CR-mean(d6$CR))/mean(CR))*100
> > a7<-((d7$CR-mean(d7$CR))/mean(CR))*100
> >
> > a1-a7 actually gives percentage change in the data.
> >
> > Instead of doing this one after the other, can you please give an
> > indication on how I may apply this formula to the data frame with probably
> > a code.
> >
> > Thank you again.
> >
> > Best
> > Ogbos
> >
> > On Wed, Nov 28, 2018 at 5:15 AM Ogbos Okike <giftedlife2...@gmail.com>
> > wrote:
> >
> >> Dear Jim,
> >>
> >> I wish also to use the means calculated and apply a certain formula on
> >> the same data frame. In particular, I would like to subtract the means of
> >> each of these seven days from each of the seven days and and divide the
> >> outcome by the same means. If I represent m1 by the means of each seven
> >> days in column 1, and c1 is taken as column 1 data. My formula will be of
> >> the form:
> >> aa<-(c1-m1)/m1.
> >>
> >> I tried it on the first 7 rows and I have what I am looking for.:
> >> -0.0089986156
> >> -0.0031149054
> >> 0.0042685741
> >> 0.0094600831
> >> 0.0019612367
> >> -0.0044993078
> >> 0.0009229349
> >>
> >> But doing it manually will take much time.
> >>
> >> Many thanks for going a step further to assist me.
> >>
> >> Warmest regards.
> >> Ogbos
> >>
> >> On Wed, Nov 28, 2018 at 4:31 AM Jim Lemon <drjimle...@gmail.com> wrote:
> >>
> >>> Hi Ogbos,
> >>> If we assume that you have a 3 column data frame named oodf, how about:
> >>>
> >>> oodf[,4]<-floor((cumsum(oodf[,1])-1)/28)
> >>> col2means<-by(oodf[,2],oodf[,4],mean)
> >>> col3means<-by(oodf[,3],oodf[,4],mean)
> >>>
> >>> Jim
> >>>
> >>> On Wed, Nov 28, 2018 at 2:06 PM Ogbos Okike <giftedlife2...@gmail.com>
> >>> wrote:
> >>>>
> >>>> Dear List,
> >>>> I have three data-column data. The data is of the form:
> >>>> 1 8590 12516
> >>>> 2 8641 98143
> >>>> 3 8705 98916
> >>>> 4 8750 89911
> >>>> 5 8685 104835
> >>>> 6 8629 121963
> >>>> 7 8676 77655
> >>>> 1 8577 81081
> >>>> 2 8593 83385
> >>>> 3 8642 112164
> >>>> 4 8708 103684
> >>>> 5 8622 83982
> >>>> 6 8593 75944
> >>>> 7 8600 97036
> >>>> 1 8650 104911
> >>>> 2 8730 114098
> >>>> 3 8731 99421
> >>>> 4 8715 85707
> >>>> 5 8717 81273
> >>>> 6 8739 106462
> >>>> 7 8684 110635
> >>>> 1 8713 105214
> >>>> 2 8771 92456
> >>>> 3 8759 109270
> >>>> 4 8762 99150
> >>>> 5 8730 77306
> >>>> 6 8780 86324
> >>>> 7 8804 90214
> >>>> 1 8797 99894
> >>>> 2 8863 95177
> >>>> 3 8873 95910
> >>>> 4 8827 108511
> >>>> 5 8806 115636
> >>>> 6 8869 85542
> >>>> 7 8854 111018
> >>>> 1 8571 93247
> >>>> 2 8533 85105
> >>>> 3 8553 114725
> >>>> 4 8561 122195
> >>>> 5 8532 100945
> >>>> 6 8560 108552
> >>>> 7 8634 108707
> >>>> 1 8646 117420
> >>>> 2 8633 113823
> >>>> 3 8680 82763
> >>>> 4 8765 121072
> >>>> 5 8756 89835
> >>>> 6 8750 104578
> >>>> 7 8790 88429
> >>>>
> >>>> I wish to calculate average of the second and third columns based on the
> >>>> first column for each repeated 7 days. The length of the data is 1442.
> >>> That
> >>>> is 206 by 7. So I should arrive at 207 data points for each of the two
> >>>> columns after calculating the mean of each group 1-7.
> >>>>
> >>>> I have both tried factor/tapply and aggregate functions but seem not to
> >>> be
> >>>> making progress.
> >>>>
> >>>> Thank you very much for your idea.
> >>>>
> >>>> Best wishes
> >>>> Ogbos
> >>>>
> >>>> [[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.
> >>>
> >>
> >
> > [[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.
> >
>
> ---------------------------------------------------------------------------
> Jeff Newmiller The ..... ..... Go Live...
> DCN:<jdnew...@dcn.davis.ca.us> Basics: ##.#. ##.#. Live Go...
> Live: OO#.. Dead: OO#.. Playing
> Research Engineer (Solar/Batteries O.O#. #.O#. with
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> ---------------------------------------------------------------------------
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