I've recently wanted to analyze some data sets of growth curves; so, I decided
to try out the grofit package the dataset inputting gave me some issues.
I've been trying to replicate the example from the grofit package with
R
> foo <- ran.data(100, 25)
> time <- foo$time
> data <- foo$data
> write.csv(file="data.csv", foo)
> sink(file="sink.txt")
> foo
> sink()
also to see if there is another problem I'm missing i've used sink() to see the
actual output of this data.
The sink call provides a dataframe object, however I'm trying to use my own
data in this. Is there a way to create the dataframe object in excel (I've
tried following the example from the write.csv() output).
I know there is a problem with the input method by following the .csv output
and i could use follow the sink() output to create my data frame object;
however, I'm not sure about how i would do this with a large dataset with lets
say 1000 data points. Has anyone ran into this issue and is there a quick work
around?
the sink() output
$data
X1 X2 X3 X4 X5 X6 X7
X8 X9 X10 X11 X12 X13 X14
X15 X16 X17
1 Test I A 0.06195419 0.314959772 0.398263408 0.091132317 1.012083039
0.35122189 1.78719671 2.47453614 3.25305005 3.9829927 5.2863775 5.8576975
7.2154323 8.501599 8.405278
2 Test I B 0.09543701 0.441797809 -0.345308045 0.462532336 1.324153423
1.20722268 1.71422886 2.40135394 2.79558398 3.8981917 5.3614344 5.8423570
6.8511538 7.192188 8.344946
3 Test I C 0.16386938 -0.178975999 0.464790443 0.325264753 0.033088580
0.79395919 0.63525411 1.71685521 2.62738577 2.5209004 4.4535178 4.9102966
6.8867905 6.996433 7.553863
4 Test I D 0.14198175 0.100778235 -0.164231759 -0.322266709 0.571067561
1.24234632 1.54056165 1.96933568 2.97097469 3.7711348 3.8414402 5.2768758
5.6688960 7.041779 7.651093
5 Test I E 0.25390711 0.039312093 -0.463351713 0.628339527 0.418403984
0.56460811 1.26348242 1.56823878 1.93588943 3.3141874 3.0360158 3.7567956
5.6896075 5.873556 6.524754
6 Test I F 0.22319304 -0.076464713 0.074501305 -0.160924707 0.384392150
0.76412340 1.36118116 1.50356468 2.53322106 3.4924520 4.5054475 4.6222326
5.5347148 6.349000 7.482548
7 Test I G 0.28095487 -0.728248588 0.479450323 0.542078371 0.757460716
0.10292177 1.01113655 1.14448036 2.19976257 3.3030023 3.0848547 4.1877661
5.2832997 5.485825 6.375234
8 Test I A 0.32135093 -0.036980401 -0.068313544 -0.059620107 0.440995143
0.48424749 0.65644521 1.38482000 2.05964880 2.2548116 2.6813025 3.5085200
4.7988415 5.017753 5.405950
9 Test I B 0.31930456 0.169104577 0.100637447 0.070003632 0.304209263
1.72301034
...
$time
[,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8]
[,9] [,10] [,11] [,12] [,13] [,14] [,15] [,16] [,17]
[,18] [,19] [,20]
[1,] 1.105562 2.429351 3.303547 4.941900 5.370762 6.939251 7.546835 8.400435
9.602104 10.85058 11.27732 12.12658 13.80886 14.03953 15.88684 16.63256
17.85349 18.29452 19.94482 20.74473
[2,] 1.842357 2.183849 3.528340 4.761010 5.610834 6.473241 7.771216 8.575116
9.544966 10.79126 11.61007 12.91479 13.21070 14.27869 15.30520 16.32062
17.71822 18.94936 19.58821 20.46276
[3,] 1.787510 2.734994 3.063325 4.788528 5.676988 6.096337 7.373838 8.047332
9.042756 10.35715 11.47604 12.84095 13.14183 14.77351 15.81132 16.63433
17.37387 18.51372 19.83332 20.74899
[4,] 1.074662 2.386418 3.734951 4.889867 5.994899 6.483399 7.603956 8.826142
9.536391 10.01653 11.03079 12.60530 13.00965 14.70169 15.17157 16.75678
17.85311 18.22975 19.28407 20.73184
[5,] 1.748113 2.185892 3.236870 4.294671 5.093055 6.910312 7.881226 8.067719
9.632505 10.26807 11.03523 12.75277 13.66110 14.30814 15.61313 16.62628
17.98222 18.95378 19.46946 20.17275
the write.csv() output
data.X1 data.X2 data.X3 data.X4 data.X5 data.X6 data.X7 data.X8 data.X9
1 Test I A 0.061954188 0.314959772 0.398263408
0.091132317 1.012083039 0.351221894 1.787196715
2 Test I B 0.095437013 0.441797809 -0.345308045
0.462532336 1.324153423 1.207222678 1.714228858
3 Test I C 0.16386938 -0.178975999 0.464790443
0.325264753 0.03308858 0.793959194 0.63525411
4 Test I D 0.141981749 0.100778235 -0.164231759
-0.322266709 0.571067561 1.242346317 1.540561647
5 Test I E 0.253907113 0.039312093 -0.463351713
0.628339527 0.418403984 0.564608113 1.263482418
6 Test I F 0.223193041 -0.076464713 0.074501305
-0.160924707 0.38439215 0.764123401 1.361181159
7 Test I G 0.280954867 -0.728248588 0.479450323
0.542078371 0.757460716 0.102921772 1.011136548
8 Test I A 0.321350933 -0.036980401 -0.068313544
-0.059620107 0.440995143 0.48424749 0.656445215
9 Test I B 0.319304561 0.169104577 0.100637447
0.070003632 0.304209263 1.723010338 0.471089175
10 Test I C 0.340566295 0.093127169 0.033974387
0.245478841 0.393911475 0.203389585 1.005453213
11 Test I D 0.333709948 0.333333875 0.617596536
-0.155448079 0.610516542 0.198084915 0.436375715
12 Test I E 0.447724878 0.143374568 -0.109355736
0.51752932 0.798150461 0.195199233 0.401329643
13 Test I F 0.390981428 -0.142028672 0.139992973
0.350846958 0.674888644 0.760292796 0.364816546
14 Test I G 0.495102072 0.428716874 0.448110388
0.301635201 0.440899901 1.023213179 0.801876373
15 Test I A 0.531173467 -0.148918942 0.05126733
-0.454508347 0.487135445 -0.073263324 0.012359952
16 Test I B 0.565521033 0.136874075 0.067359297
0.199090002 0.251350792 0.73318158 0.41629902
?
No luck in mimicking these examples for me.
[[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.
