[R] grofit package problem inputting dataset

Jeff Newmiller jdnewmil at dcn.davis.CA.us
Sat Aug 9 09:06:34 CEST 2014


Your "csv" output doesn't have any commas in it. Your email is in HTML format so we cannot trust it to show what is really there (read the Posting Guide). The sink function forwards stuff that would have been printed to a file, but that isn't a particularly good way to exchange data with other software.

I use

write.table(foo,"data.csv",sep=",",row.names=FALSE)

to export csv data.
---------------------------------------------------------------------------
Jeff Newmiller                        The     .....       .....  Go Live...
DCN:<jdnewmil at dcn.davis.ca.us>        Basics: ##.#.       ##.#.  Live Go...
                                      Live:   OO#.. Dead: OO#..  Playing
Research Engineer (Solar/Batteries            O.O#.       #.O#.  with
/Software/Embedded Controllers)               .OO#.       .OO#.  rocks...1k
--------------------------------------------------------------------------- 
Sent from my phone. Please excuse my brevity.

On August 8, 2014 10:19:48 PM PDT, "Fethe, Michael" <mfethe1 at vols.utk.edu> wrote:
>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 at 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.



More information about the R-help mailing list