[R] calculate within-day correlations

Rui Barradas ruipbarradas at sapo.pt
Fri Sep 14 04:09:06 CEST 2012


Hello,

Try the following.

Q_use_2 <- split(Q_use, as.Date(Q_use$date))
SC_use_2 <- split(SC_use, as.Date(SC_use$date))

lapply(seq_along(Q_use_2), function(i) cor(Q_use_2[[i]]$Q, 
SC_use_2[[i]]$SC))

Hope this helps,

Rui Barradas

Em 14-09-2012 01:35, emorway escreveu:
> useRs,
>
> Here is some R-ready data for my question to follow.  Of course this data is
> small snippet from a much larger dataset that is about a decade long.
>
> Q<-read.table(textConnection("2002   3   28   15   77.38815
> 2002   3   28   30   77.09505
> 2002   3   28   45   76.80196
> 2002   3   28   60   76.50887
> 2002   3   28   75   76.50887
> 2002   3   28   90   76.50887
> 2002   3   28   105   76.50887
> 2002   3   28   120   76.50887
> 2002   3   28   135   76.80196
> 2002   3   28   150   77.09506
> 2002   3   28   165   77.38815
> 2002   3   28   180   77.68125
> 2002   3   28   195   77.68125
> 2002   3   28   210   77.68125
> 2002   3   28   225   77.68125
> 2002   3   28   240   77.68125
> 2002   3   28   255   77.38815
> 2002   3   28   270   77.09505
> 2002   3   28   285   76.80196
> 2002   3   28   300   76.50887
> 2002   3   28   315   76.80196
> 2002   3   28   330   77.09506
> 2002   3   28   345   77.38815
> 2002   3   28   360   77.68125
> 2002   3   28   375   77.68125
> 2002   3   28   390   77.68125
> 2002   3   28   405   77.68125
> 2002   3   28   420   77.68125
> 2002   3   28   435   77.68125
> 2002   3   28   450   77.68125
> 2002   3   28   465   77.68125
> 2002   3   28   480   77.68125
> 2002   3   28   495   77.97691
> 2002   3   28   510   78.27258
> 2002   3   28   525   78.56824
> 2002   3   28   540   78.86389
> 2002   3   28   555   78.86389
> 2002   3   28   570   78.86389
> 2002   3   28   585   78.86389
> 2002   3   28   600   78.86389
> 2002   3   28   615   78.86389
> 2002   3   28   630   78.86389
> 2002   3   28   645   78.86389
> 2002   3   28   660   78.86389
> 2002   3   28   675   78.86389
> 2002   3   28   690   78.86389
> 2002   3   28   705   78.86389
> 2002   3   28   720   78.86389
> 2002   3   28   735   79.16212
> 2002   3   28   750   79.46034
> 2002   3   28   765   79.75856
> 2002   3   28   780   80.05679
> 2002   3   28   795   79.75856
> 2002   3   28   810   79.46033
> 2002   3   28   825   79.16211
> 2002   3   28   840   78.86389
> 2002   3   28   855   78.56823
> 2002   3   28   870   78.27257
> 2002   3   28   885   77.97691
> 2002   3   28   900   77.68125
> 2002   3   28   915   77.68125
> 2002   3   28   930   77.68125
> 2002   3   28   945   77.68125
> 2002   3   28   960   77.68125
> 2002   3   28   975   77.68125
> 2002   3   28   990   77.29046
> 2002   3   28   1005   76.89966
> 2002   3   28   1020   76.50887
> 2002   3   28   1035   75.93033
> 2002   3   28   1050   75.35179
> 2002   3   28   1065   74.77325
> 2002   3   28   1080   74.19473
> 2002   3   28   1095   73.90929
> 2002   3   28   1110   73.62385
> 2002   3   28   1125   73.33841
> 2002   3   28   1140   73.05298
> 2002   3   28   1155   73.33842
> 2002   3   28   1170   73.62386
> 2002   3   28   1185   73.90929
> 2002   3   28   1200   74.19473
> 2002   3   28   1215   74.19473
> 2002   3   28   1230   74.19473
> 2002   3   28   1245   74.19473
> 2002   3   28   1260   74.19473
> 2002   3   28   1275   74.48272
> 2002   3   28   1290   74.77071
> 2002   3   28   1305   75.05871
> 2002   3   28   1320   75.3467
> 2002   3   28   1335   75.63725
> 2002   3   28   1350   75.92779
> 2002   3   28   1365   76.21832
> 2002   3   28   1380   76.50887
> 2002   3   28   1395   76.80196
> 2002   3   28   1410   77.09506
> 2002   3   28   1425   77.38815
> 2002   3   28   1440   77.68125
> 2002   3   29   15   77.38815
> 2002   3   29   30   77.09505
> 2002   3   29   45   76.80196
> 2002   3   29   60   76.50887
> 2002   3   29   75   76.21832
> 2002   3   29   90   75.92778
> 2002   3   29   105   75.63724
> 2002   3   29   120   75.3467
> 2002   3   29   135   75.63725
> 2002   3   29   150   75.92779
> 2002   3   29   165   76.21832
> 2002   3   29   180   76.50887
> 2002   3   29   195   76.21832
> 2002   3   29   210   75.92778
> 2002   3   29   225   75.63724
> 2002   3   29   240   75.3467
> 2002   3   29   255   75.3467
> 2002   3   29   270   75.3467
> 2002   3   29   285   75.3467
> 2002   3   29   300   75.3467
> 2002   3   29   315   75.3467
> 2002   3   29   330   75.3467
> 2002   3   29   345   75.3467
> 2002   3   29   360   75.3467
> 2002   3   29   375   75.63725
> 2002   3   29   390   75.92779
> 2002   3   29   405   76.21832
> 2002   3   29   420   76.50887
> 2002   3   29   435   76.50887
> 2002   3   29   450   76.50887
> 2002   3   29   465   76.50887
> 2002   3   29   480   76.50887
> 2002   3   29   495   76.80196
> 2002   3   29   510   77.09506
> 2002   3   29   525   77.38815
> 2002   3   29   540   77.68125
> 2002   3   29   555   77.97691
> 2002   3   29   570   78.27258
> 2002   3   29   585   78.56824
> 2002   3   29   600   78.86389
> 2002   3   29   615   79.16212
> 2002   3   29   630   79.46034
> 2002   3   29   645   79.75856
> 2002   3   29   660   80.05679
> 2002   3   29   675   80.05679
> 2002   3   29   690   80.05679
> 2002   3   29   705   80.05679
> 2002   3   29   720   80.05679
> 2002   3   29   735   80.35759
> 2002   3   29   750   80.65839
> 2002   3   29   765   80.9592
> 2002   3   29   780   81.26001
> 2002   3   29   795   81.26001
> 2002   3   29   810   81.26001
> 2002   3   29   825   81.26001
> 2002   3   29   840   81.26001
> 2002   3   29   855   81.26001
> 2002   3   29   870   81.26001
> 2002   3   29   885   81.26001
> 2002   3   29   900   81.26001
> 2002   3   29   915   80.95921
> 2002   3   29   930   80.6584
> 2002   3   29   945   80.35759
> 2002   3   29   960   80.05679
> 2002   3   29   975   80.35759
> 2002   3   29   990   80.65839
> 2002   3   29   1005   80.9592
> 2002   3   29   1020   81.26001
> 2002   3   29   1035   81.26001
> 2002   3   29   1050   81.26001
> 2002   3   29   1065   81.26001
> 2002   3   29   1080   81.26001
> 2002   3   29   1095   81.56339
> 2002   3   29   1110   81.86678
> 2002   3   29   1125   82.17016
> 2002   3   29   1140   82.47354
> 2002   3   29   1155   82.47354
> 2002   3   29   1170   82.47354
> 2002   3   29   1185   82.47354
> 2002   3   29   1200   82.47354
> 2002   3   29   1215   82.47354
> 2002   3   29   1230   82.47354
> 2002   3   29   1245   82.47354
> 2002   3   29   1260   82.47354
> 2002   3   29   1275   82.47354
> 2002   3   29   1290   82.47354
> 2002   3   29   1305   82.47354
> 2002   3   29   1320   82.47354
> 2002   3   29   1335   82.47354
> 2002   3   29   1350   82.47354
> 2002   3   29   1365   82.47354
> 2002   3   29   1380   82.47354
> 2002   3   29   1395   82.47354
> 2002   3   29   1410   82.47354
> 2002   3   29   1425   82.47354
> 2002   3   29   1440   82.47354
> 2002   3   30   15   82.47354
> 2002   3   30   30   82.47354
> 2002   3   30   45   82.47354
> 2002   3   30   60   82.47354
> 2002   3   30   75   82.77951
> 2002   3   30   90   83.08547
> 2002   3   30   105   83.39143
> 2002   3   30   120   83.6974
> 2002   3   30   135   84.00597
> 2002   3   30   150   84.31453
> 2002   3   30   165   84.62309
> 2002   3   30   180   84.93166
> 2002   3   30   195   84.93166
> 2002   3   30   210   84.93166
> 2002   3   30   225   84.93166
> 2002   3   30   240   84.93166
> 2002   3   30   255   84.93166
> 2002   3   30   270   84.93166
> 2002   3   30   285   84.93166
> 2002   3   30   300   84.93166
> 2002   3   30   315   84.93166
> 2002   3   30   330   84.93166
> 2002   3   30   345   84.93166
> 2002   3   30   360   84.93166
> 2002   3   30   375   84.93166
> 2002   3   30   390   84.93166
> 2002   3   30   405   84.93166
> 2002   3   30   420   84.93166
> 2002   3   30   435   84.93166
> 2002   3   30   450   84.93166
> 2002   3   30   465   84.93166
> 2002   3   30   480   84.93166
> 2002   3   30   495   84.93166
> 2002   3   30   510   84.93166
> 2002   3   30   525   84.93166
> 2002   3   30   540   84.93166
> 2002   3   30   555   85.24281
> 2002   3   30   570   85.55397
> 2002   3   30   585   85.86513
> 2002   3   30   600   86.17629
> 2002   3   30   615   85.86514
> 2002   3   30   630   85.55398
> 2002   3   30   645   85.24281
> 2002   3   30   660   84.93166
> 2002   3   30   675   84.93166
> 2002   3   30   690   84.93166
> 2002   3   30   705   84.93166
> 2002   3   30   720   84.93166
> 2002   3   30   735   84.62309
> 2002   3   30   750   84.31453
> 2002   3   30   765   84.00597
> 2002   3   30   780   83.6974
> 2002   3   30   795   83.39143
> 2002   3   30   810   83.08547
> 2002   3   30   825   82.77951
> 2002   3   30   840   82.47354
> 2002   3   30   855   82.17016
> 2002   3   30   870   81.86678
> 2002   3   30   885   81.56339
> 2002   3   30   900   81.26001
> 2002   3   30   915   81.26001
> 2002   3   30   930   81.26001
> 2002   3   30   945   81.26001
> 2002   3   30   960   81.26001
> 2002   3   30   975   81.26001
> 2002   3   30   990   81.26001
> 2002   3   30   1005   81.26001
> 2002   3   30   1020   81.26001
> 2002   3   30   1035   81.26001
> 2002   3   30   1050   81.26001
> 2002   3   30   1065   81.26001
> 2002   3   30   1080   81.26001
> 2002   3   30   1095   80.95921
> 2002   3   30   1110   80.6584
> 2002   3   30   1125   80.35759
> 2002   3   30   1140   80.05679
> 2002   3   30   1155   79.75856
> 2002   3   30   1170   79.46033
> 2002   3   30   1185   79.16211
> 2002   3   30   1200   78.86389
> 2002   3   30   1215   78.86389
> 2002   3   30   1230   78.86389
> 2002   3   30   1245   78.86389
> 2002   3   30   1260   78.86389
> 2002   3   30   1275   78.56823
> 2002   3   30   1290   78.27257
> 2002   3   30   1305   77.97691
> 2002   3   30   1320   77.68125
> 2002   3   30   1335   77.09762
> 2002   3   30   1350   76.51398
> 2002   3   30   1365   75.93034
> 2002   3   30   1380   75.3467
> 2002   3   30   1395   75.05871
> 2002   3   30   1410   74.77071
> 2002   3   30   1425   74.48272
> 2002   3   30   1440
> 74.19473"),header=F,col.names=c('yr','mn','dy','min','Q'))
>
> SC<-read.table(textConnection("2002   3   28   15   4480
> 2002   3   28   30   4480
> 2002   3   28   45   4480
> 2002   3   28   60   4480
> 2002   3   28   75   4480
> 2002   3   28   90   4480
> 2002   3   28   105   4480
> 2002   3   28   120   4480
> 2002   3   28   135   4482.5
> 2002   3   28   150   4485
> 2002   3   28   165   4487.5
> 2002   3   28   180   4490
> 2002   3   28   195   4490
> 2002   3   28   210   4490
> 2002   3   28   225   4490
> 2002   3   28   240   4490
> 2002   3   28   255   4487.5
> 2002   3   28   270   4485
> 2002   3   28   285   4482.5
> 2002   3   28   300   4480
> 2002   3   28   315   4480
> 2002   3   28   330   4480
> 2002   3   28   345   4480
> 2002   3   28   360   4480
> 2002   3   28   375   4480
> 2002   3   28   390   4480
> 2002   3   28   405   4480
> 2002   3   28   420   4480
> 2002   3   28   435   4482.5
> 2002   3   28   450   4485
> 2002   3   28   465   4487.5
> 2002   3   28   480   4490
> 2002   3   28   495   4492.5
> 2002   3   28   510   4495
> 2002   3   28   525   4497.5
> 2002   3   28   540   4500
> 2002   3   28   555   4502.5
> 2002   3   28   570   4505
> 2002   3   28   585   4507.5
> 2002   3   28   600   4510
> 2002   3   28   615   4510
> 2002   3   28   630   4510
> 2002   3   28   645   4510
> 2002   3   28   660   4510
> 2002   3   28   675   4510
> 2002   3   28   690   4510
> 2002   3   28   705   4510
> 2002   3   28   720   4510
> 2002   3   28   735   4510
> 2002   3   28   750   4510
> 2002   3   28   765   4510
> 2002   3   28   780   4510
> 2002   3   28   795   4512.5
> 2002   3   28   810   4515
> 2002   3   28   825   4517.5
> 2002   3   28   840   4520
> 2002   3   28   855   4520
> 2002   3   28   870   4520
> 2002   3   28   885   4520
> 2002   3   28   900   4520
> 2002   3   28   915   4522.5
> 2002   3   28   930   4525
> 2002   3   28   945   4527.5
> 2002   3   28   960   4530
> 2002   3   28   975   4532.5
> 2002   3   28   990   4535
> 2002   3   28   1005   4537.5
> 2002   3   28   1020   4540
> 2002   3   28   1035   4537.5
> 2002   3   28   1050   4535
> 2002   3   28   1065   4532.5
> 2002   3   28   1080   4530
> 2002   3   28   1095   4530
> 2002   3   28   1110   4530
> 2002   3   28   1125   4530
> 2002   3   28   1140   4530
> 2002   3   28   1155   4535
> 2002   3   28   1170   4540
> 2002   3   28   1185   4545
> 2002   3   28   1200   4550
> 2002   3   28   1215   4550
> 2002   3   28   1230   4550
> 2002   3   28   1245   4550
> 2002   3   28   1260   4550
> 2002   3   28   1275   4550
> 2002   3   28   1290   4550
> 2002   3   28   1305   4550
> 2002   3   28   1320   4550
> 2002   3   28   1335   4542.5
> 2002   3   28   1350   4535
> 2002   3   28   1365   4527.5
> 2002   3   28   1380   4520
> 2002   3   28   1395   4520
> 2002   3   28   1410   4520
> 2002   3   28   1425   4520
> 2002   3   28   1440   4520
> 2002   3   29   15   4520
> 2002   3   29   30   4520
> 2002   3   29   45   4520
> 2002   3   29   60   4520
> 2002   3   29   75   4520
> 2002   3   29   90   4520
> 2002   3   29   105   4520
> 2002   3   29   120   4520
> 2002   3   29   135   4520
> 2002   3   29   150   4520
> 2002   3   29   165   4520
> 2002   3   29   180   4520
> 2002   3   29   195   4522.5
> 2002   3   29   210   4525
> 2002   3   29   225   4527.5
> 2002   3   29   240   4530
> 2002   3   29   255   4530
> 2002   3   29   270   4530
> 2002   3   29   285   4530
> 2002   3   29   300   4530
> 2002   3   29   315   4532.5
> 2002   3   29   330   4535
> 2002   3   29   345   4537.5
> 2002   3   29   360   4540
> 2002   3   29   375   4540
> 2002   3   29   390   4540
> 2002   3   29   405   4540
> 2002   3   29   420   4540
> 2002   3   29   435   4542.5
> 2002   3   29   450   4545
> 2002   3   29   465   4547.5
> 2002   3   29   480   4550
> 2002   3   29   495   4552.5
> 2002   3   29   510   4555
> 2002   3   29   525   4557.5
> 2002   3   29   540   4560
> 2002   3   29   555   4560
> 2002   3   29   570   4560
> 2002   3   29   585   4560
> 2002   3   29   600   4560
> 2002   3   29   615   4557.5
> 2002   3   29   630   4555
> 2002   3   29   645   4552.5
> 2002   3   29   660   4550
> 2002   3   29   675   4547.5
> 2002   3   29   690   4545
> 2002   3   29   705   4542.5
> 2002   3   29   720   4540
> 2002   3   29   735   4540
> 2002   3   29   750   4540
> 2002   3   29   765   4540
> 2002   3   29   780   4540
> 2002   3   29   795   4537.5
> 2002   3   29   810   4535
> 2002   3   29   825   4532.5
> 2002   3   29   840   4530
> 2002   3   29   855   4530
> 2002   3   29   870   4530
> 2002   3   29   885   4530
> 2002   3   29   900   4530
> 2002   3   29   915   4535
> 2002   3   29   930   4540
> 2002   3   29   945   4545
> 2002   3   29   960   4550
> 2002   3   29   975   4537.5
> 2002   3   29   990   4525
> 2002   3   29   1005   4512.5
> 2002   3   29   1020   4500
> 2002   3   29   1035   4490
> 2002   3   29   1050   4480
> 2002   3   29   1065   4470
> 2002   3   29   1080   4460
> 2002   3   29   1095   4470
> 2002   3   29   1110   4480
> 2002   3   29   1125   4490
> 2002   3   29   1140   4500
> 2002   3   29   1155   4490
> 2002   3   29   1170   4480
> 2002   3   29   1185   4470
> 2002   3   29   1200   4460
> 2002   3   29   1215   4460
> 2002   3   29   1230   4460
> 2002   3   29   1245   4460
> 2002   3   29   1260   4460
> 2002   3   29   1275   4455
> 2002   3   29   1290   4450
> 2002   3   29   1305   4445
> 2002   3   29   1320   4440
> 2002   3   29   1335   4437.5
> 2002   3   29   1350   4435
> 2002   3   29   1365   4432.5
> 2002   3   29   1380   4430
> 2002   3   29   1395   4427.5
> 2002   3   29   1410   4425
> 2002   3   29   1425   4422.5
> 2002   3   29   1440   4420
> 2002   3   30   15   4420
> 2002   3   30   30   4420
> 2002   3   30   45   4420
> 2002   3   30   60   4420
> 2002   3   30   75   4420
> 2002   3   30   90   4420
> 2002   3   30   105   4420
> 2002   3   30   120   4420
> 2002   3   30   135   4417.5
> 2002   3   30   150   4415
> 2002   3   30   165   4412.5
> 2002   3   30   180   4410
> 2002   3   30   195   4407.5
> 2002   3   30   210   4405
> 2002   3   30   225   4402.5
> 2002   3   30   240   4400
> 2002   3   30   255   4397.5
> 2002   3   30   270   4395
> 2002   3   30   285   4392.5
> 2002   3   30   300   4390
> 2002   3   30   315   4390
> 2002   3   30   330   4390
> 2002   3   30   345   4390
> 2002   3   30   360   4390
> 2002   3   30   375   4387.5
> 2002   3   30   390   4385
> 2002   3   30   405   4382.5
> 2002   3   30   420   4380
> 2002   3   30   435   4382.5
> 2002   3   30   450   4385
> 2002   3   30   465   4387.5
> 2002   3   30   480   4390
> 2002   3   30   495   4392.5
> 2002   3   30   510   4395
> 2002   3   30   525   4397.5
> 2002   3   30   540   4400
> 2002   3   30   555   4402.5
> 2002   3   30   570   4405
> 2002   3   30   585   4407.5
> 2002   3   30   600   4410
> 2002   3   30   615   4410
> 2002   3   30   630   4410
> 2002   3   30   645   4410
> 2002   3   30   660   4410
> 2002   3   30   675   4410
> 2002   3   30   690   4410
> 2002   3   30   705   4410
> 2002   3   30   720   4410
> 2002   3   30   735   4412.5
> 2002   3   30   750   4415
> 2002   3   30   765   4417.5
> 2002   3   30   780   4420
> 2002   3   30   795   4417.5
> 2002   3   30   810   4415
> 2002   3   30   825   4412.5
> 2002   3   30   840   4410
> 2002   3   30   855   4412.5
> 2002   3   30   870   4415
> 2002   3   30   885   4417.5
> 2002   3   30   900   4420
> 2002   3   30   915   4417.5
> 2002   3   30   930   4415
> 2002   3   30   945   4412.5
> 2002   3   30   960   4410
> 2002   3   30   975   4400
> 2002   3   30   990   4390
> 2002   3   30   1005   4380
> 2002   3   30   1020   4370
> 2002   3   30   1035   4362.5
> 2002   3   30   1050   4355
> 2002   3   30   1065   4347.5
> 2002   3   30   1080   4340
> 2002   3   30   1095   4355
> 2002   3   30   1110   4370
> 2002   3   30   1125   4385
> 2002   3   30   1140   4400
> 2002   3   30   1155   4400
> 2002   3   30   1170   4400
> 2002   3   30   1185   4400
> 2002   3   30   1200   4400
> 2002   3   30   1215   4400
> 2002   3   30   1230   4400
> 2002   3   30   1245   NA
> 2002   3   30   1260   4400
> 2002   3   30   1275   4402.5
> 2002   3   30   1290   4405
> 2002   3   30   1305   4407.5
> 2002   3   30   1320   4410
> 2002   3   30   1335   4412.5
> 2002   3   30   1350   4415
> 2002   3   30   1365   4417.5
> 2002   3   30   1380   4420
> 2002   3   30   1395   4425
> 2002   3   30   1410   4430
> 2002   3   30   1425   4435
> 2002   3   30   1440
> 4440"),header=F,col.names=c('yr','mn','dy','min','SC'))
>
> Q_use<-data.frame(date=as.POSIXct(paste(Q[,1],"-",Q[,2],"-",Q[,3],"
> ",floor(Q[,4]/60),":",Q[,4]-(floor(Q[,4]/60)*60),":00",sep=''),"%Y-%m-%d
> %H:%M:%S",tz=""),Q=Q$Q)
> SC_use<-data.frame(date=as.POSIXct(paste(SC[,1],"-",SC[,2],"-",SC[,3],"
> ",floor(SC[,4]/60),":",SC[,4]-(floor(SC[,4]/60)*60),":00",sep=''),"%Y-%m-%d
> %H:%M:%S",tz=""),SC=SC$SC)
>
> Using the data provided, I’m trying to calculate each day’s correlation
> between Q_use$Q and SC_use$SC and store the values in a data.frame.  An
> example result I’d  like to make is
>
> #Day 1
> cor(Q_use$Q[1:95],SC_use$SC[1:95])
> #[1] -0.4916499
>
> #Day 2
> cor(Q_use$Q[96:191],SC_use$SC[96:191])
> #[1] -0.6085098
>
> edm<-data.frame(Correl=t(t(c(cor(Q_use$Q[1:95],SC_use$SC[1:95]),
> cor(Q_use$Q[96:191],SC_use$SC[96:191])))))
>
> But of course I want R to figure out appropriate indexes (i.e. 1:95, 96:191,
> and so in the larger dataset) for me.  In other words, I'm seeking some help
> with R code that will ‘pass’ through the two datasets calculating each day’s
> correlation and doesn’t rely on the user supplying the ranges of indexes for
> way the daily values reside.
>
> There are, as there always is, a couple of wrinkles.  On day 3, for example,
>
> cor(Q_use$Q[192:287],SC_use$SC[192:287])
> [1] NA
>
> This is because SC_use$SC[275] = NA.  Is there a way to direct R to continue
> calculating that day's correlation using the data that is available for that
> day?  It is also necessary to check and make sure that
> Q_use[i,1]==SC_use[i,1] for each i in that day because in the larger dataset
> the row indices don’t necessarily match up (I have made sure that they do
> for this simple example).  It would be handy to know how many values were
> missing on incomplete days, perhaps in a column appended to the resulting
> data frame.  I appreciate any R code that could help get me started toward
> this end, I’m stuck.  I tried looking at ?aggregate, had a look in the
> reshape library, and ‘rollapply’ in the zoo library, but I wasn’t seeing a
> way to do the error checking I just described.
> Thanks, Eric
>
>
>
>
> --
> View this message in context: http://r.789695.n4.nabble.com/calculate-within-day-correlations-tp4643091.html
> Sent from the R help mailing list archive at Nabble.com.
>
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> and provide commented, minimal, self-contained, reproducible code.




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