Re: [R] lme, nlsList, nlsList.selfStart

From: Patrick Giraudoux <patrick.giraudoux_at_univ-fcomte.fr>
Date: Fri 17 Feb 2006 - 20:47:21 EST

Spencer,

Thanks for the hint. I did not dare to bore people with the full data set and though that this kind of error may have been trivial and often encountered (so leading to a short answer), even though I did not see related messages on the r-help list. I already did the checks suggested before posting, and was aware of the possible confusion between 1 and l (actually the variable names were not given by myself).

It seems that the trouble comes when the grouping variable "Organ" is used. The best (?) I can do is to dump the data.frame here below.

With this example, one can get exactly the same errors:

mymod2<-nls(Conc~Dose * exp(lKe+lKa-lCl) * (exp(-exp(lKe)*Tps)-exp(-exp(lKa)*Tps)) /(exp(lKa)-exp(lKe)),

    data=mydata2,
    start= c(lKe=-2.77, lKa=-1.41, lCl=-1.13)     )    

... works well!!!

but we get then:

mymod3<-nlsList(Conc~Dose * exp(lKe+lKa-lCl) * (exp(-exp(lKe)*Tps)-exp(-exp(lKa)*Tps)) /(exp(lKa)-exp(lKe)) | Organ,

    data=mydata2,
    start= c(lKe=-2.77, lKa=-1.41, lCl=-1.13)     )
Error in model.frame(formula, rownames, variables, varnames, extras, extranames, :

        variable lengths differ
Error in model.frame(formula, rownames, variables, varnames, extras, extranames, :

        variable lengths differ
Error in model.frame(formula, rownames, variables, varnames, extras, extranames, :

        variable lengths differ

 > mymod4<-nlsList(SSfol,data=mydata2)

Error in eval(expr, envir, enclos) : object "input" not found
Error in eval(expr, envir, enclos) : object "input" not found
Error in eval(expr, envir, enclos) : object "input" not found


Sorry and apologise for the inconvenience met,

Kind regards,

Patrick

# data.frame just to copy and past into R

"mydata2" <-

structure(list(Tps = c(1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 3,

3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 6, 6, 6, 6,
6, 6, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 8, 8, 8, 8, 8, 8, 9, 9, 9,
9, 9, 9, 10, 10, 10, 10, 10, 10, 11, 11, 11, 11, 11, 11, 14,
14, 14, 14, 14, 17, 17, 17, 17, 17, 20, 20, 20, 20, 25, 28, 29,
50, 50, 50, 136, 136, 136, 136, 136, 136, 136, 136, 136, 136,
1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 4, 4, 4,
4, 4, 4, 5, 5, 5, 5, 5, 5, 6, 6, 6, 6, 6, 6, 7, 7, 7, 7, 7, 7,
7, 7, 7, 7, 8, 8, 8, 8, 8, 8, 9, 9, 9, 9, 9, 9, 10, 10, 10, 10,
10, 10, 11, 11, 11, 11, 11, 11, 14, 14, 14, 14, 14, 17, 17, 17,
17, 17, 20, 20, 20, 20, 25, 28, 29, 50, 50, 50, 136, 136, 136,
136, 136, 136, 136, 136, 136, 136, 1, 1, 1, 1, 1, 1, 2, 2, 2,
2, 2, 2, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5,
6, 6, 6, 6, 6, 6, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 8, 8, 8, 8, 8,
8, 9, 9, 9, 9, 9, 9, 10, 10, 10, 10, 10, 10, 11, 11, 11, 11,
11, 11, 14, 14, 14, 14, 14, 17, 17, 17, 17, 17, 20, 20, 20, 20, 25, 28, 29, 50, 50, 50, 136, 136, 136, 136, 136, 136, 136, 136, 136, 136), Conc = c(0, 0, 0, 0, 0, 0, 0, 0.807852503274902,
0.204371494701886,
0.579222129993907, 0.989062273721619, 0, 1.11728297897571, 
1.41057428121324,
0.888883702851307, 1.259907624008, 1.45753269675829, 1.07077516747401,
0.843279379, 0, 0.763110069196737, 1.11297791434297, 1.10087763997637,
0.946929594501016, 1.33112168, 0.654041755, 0.694167499, 1.289548703,
1.117139864, 0.807196192, 0.720221376552025, 0.560082823, 0.476583438,
2.590855204, 0.51510972, 1.072946887, 0.537999938614396, 0.886684225905255,
0.630178116793598, 1.31534758842196, 1.33333958571746, 0.922032210748255,
0.429930193046174, 1.35881467717335, 0.790045927902363, 1.22484702570724,
0.808104508207897, 1.31185966817903, 1.51837686425553, 1.74105163638734,
1.80365598487402, 1.13240352674377, 1.50086243061644, 2.06355364280445,
0.439350890906039, 1.54692793444949, 1.78758216051046, 1.09043400023239,
0.811328376840514, 0.459192443530981, 0.695333473157298, 0.387995007681174,
0.784627063444921, 1.02282256375842, 0.382687104107726, 0.554290634950242,
0.130420456296453, 0.324194753224919, 0.31106140274139, 0.513473505828888,
0.878620320248701, 1.18404358659996, 0.136926837896477, 0, 0,
0.835588760032974, 0.558617235576616, 1.21002805866839, 0.769381068031404,
1.04514254228094, 0.373251847173678, 0.389005898972802, 0.183141006154896,
0.223596336820146, 0.315526423315647, 0.0930349732768131, 
0.169959185212759,
0.161878841748425, 0, 0.0483041009105874, 0, 0, 0, 0.0777005553478052,
0, 0.153175826795441, 0.0428171049833677, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 26.564295705327, 5.5893744508169, 7.22612934071834,
36.6563989567777, 0, 28.8967184437329, 28.4030370337251, 28.0886043901352,
26.1230935842208, 28.8895673910072, 42.6814210131968, 32.3555695551062,
0.76883326657205, 34.6159136622156, 38.329242204291, 56.4476583636484,
26.6249506083603, 31.3001451026823, 23.7339071829084, 23.3702284599355,
36.669903715038, 44.7377244306005, 31.2079335923023, 32.8613384312272,
29.4259634309146, 45.6112405959009, 48.1231689836687, 55.0037961570027,
32.9822316456421, 20.0382768189682, 26.0986380308655, 28.8915584506145,
28.7949023823068, 30.0278417498425, 58.8089779973569, 20.3602570111197,
29.6269605259023, 28.4404986724604, 30.2165182590977, 19.9204461889074,
31.1019196559556, 30.3847467747055, 36.8726911479995, 51.0618036275519,
23.5408013442579, 36.6948355347593, 27.4753860809429, 24.1341667099646,
27.5411488989643, 35.9021799354022, 19.7417897046158, 31.1403887303244,
46.1743622734049, 34.8235854891765, 22.1714704189293, 33.6805966894274,
35.2814908686112, 42.9767437212852, 38.1264997164547, 5.3651357974451,
42.8990434918385, 25.4908883698364, 25.99649502, 36.4958105490917,
40.8004126550705, 5.36867162116895, 0.00898476265269363, 0, 
27.6810997945798,
28.7918300045713, 45.7577183830352, 35.9276318604787, 34.9717618087238,
29.620354272564, 24.6537513599869, 13.5363982464958, 25.8289073574818, 12.0090406245759, 4.753436805, 11.849214652228, 8.41410147611612, 0, 1.80855352862552, 1.1987530031681, 1.01148025243171, 0.495675369574172, 1.62701127228732, 0, 16.6288242287241, 1.23656061354912, 0.323708776035328, 0, 0.566916625204436, 0, 0, 0, 0, 0, 0, 0, 2.53578781871283,
3.50083667130797, 0, 0.98049572179098, 0, 3.57129673217304, 
2.77298867949388,
2.12302645642669, 4.11923869203499, 4.69069462193674, 2.8698666062651,
2.05079837323067, 0.0602771574448942, 5.96454350250626, 2.26267114439802,
3.06911285674854, 2.04233129537404, 2.62181873844029, 1.51813653072598,
1.46193772981073, 2.69864635755833, 3.44016493913122, 2.50834832469627,
3.48170744166168, 1.00637581555435, 1.67065398473081, 4.18855363095027,
3.39649762611015, 1.72804613460423, 1.40053679329531, 2.37032387724109,
3.19332545080983, 2.49474373894248, 2.17800931288708, 2.7601484443213,
0.91266104095844, 1.93485048639199, 1.19692593420788, 1.79537330666258,
2.14020930767983, 3.0122526724942, 2.81112226980754, 3.54890724398174,
3.01022926452999, 2.38263226710738, 3.53569238341869, 3.47869329713911,
0.679333339820719, 2.4764260756438, 3.82615100065366, 2.20449890383871,
1.371303113329, 1.2427787019995, 1.73319133880954, 0.391268883238408,
1.73610193837913, 2.68494324646718, 1.77065393606844, 1.45079980147062,
0.763775702906329, 0.98566725668627, 0.37838763208699, 0.841811919286804,
1.46436462204795, 1.98409602726, 0.507005887891038, 0.465515668274195,
0, 1.873365675227, 1.69023864630648, 2.65530855919137, 2.34392199908302,
1.61917643594837, 1.05165934333345, 0.564642823436471, 0.121621029620328,
0.515007625737071, 0.524345809084086, 0.130898614090571, 0.332427740242623,
0.110214989555118, 0, 0.128642193589, 0.119407067173878, 0.128926224027295,
0.0622331866694357, 0.215645168287442, 0, 0.859343941945178,
0.0500810300696456, 0, 0, 0.0628746592609754), Organ = 
structure(as.integer(c(1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 3, 3, 3, 3, 3, 3,
3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3,
3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3,
3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3,
3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3,
3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,
2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,
2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,
2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,
2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,
2, 2, 2, 2, 2)), .Label = c("Carc", "TD", "Foie"), class = c("ordered",

"factor"))), .Names = c("Tps", "Conc", "Organ"), row.names = c("1",

"2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13",
"14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24",
"25", "26", "27", "28", "29", "30", "31", "32", "33", "34", "35",
"36", "37", "38", "39", "40", "41", "42", "43", "44", "45", "46",
"47", "48", "49", "50", "51", "52", "53", "54", "55", "56", "57",
"58", "59", "60", "61", "62", "63", "64", "65", "66", "67", "68",
"69", "70", "71", "72", "73", "74", "75", "76", "77", "78", "79",
"80", "81", "82", "83", "84", "85", "86", "87", "88", "89", "90",
"91", "92", "93", "94", "95", "96", "97", "98", "99", "100",
"101", "102", "103", "104", "105", "106", "107", "108", "109",
"110", "111", "112", "113", "114", "115", "116", "117", "118",
"119", "120", "121", "122", "123", "124", "125", "126", "127",
"128", "129", "130", "131", "132", "133", "134", "135", "136",
"137", "138", "139", "140", "141", "142", "143", "144", "145",
"146", "147", "148", "149", "150", "151", "152", "153", "154",
"155", "156", "157", "158", "159", "160", "161", "162", "163",
"164", "165", "166", "167", "168", "169", "170", "171", "172",
"173", "174", "175", "176", "177", "178", "179", "180", "181",
"182", "183", "184", "185", "186", "187", "188", "189", "190",
"191", "192", "193", "194", "195", "196", "197", "198", "199",
"200", "201", "202", "203", "204", "205", "206", "207", "208",
"209", "210", "211", "212", "213", "214", "215", "216", "217",
"218", "219", "220", "221", "222", "223", "224", "225", "226",
"227", "228", "229", "230", "231", "232", "233", "234", "235",
"236", "237", "238", "239", "240", "241", "242", "243", "244",
"245", "246", "247", "248", "249", "250", "251", "252", "253",
"254", "255", "256", "257", "258", "259", "260", "261", "262",
"263", "264", "265", "266", "267", "268", "269", "270", "271",
"272", "273", "274", "275", "276", "277", "278", "279", "280",
"281", "282", "283", "284", "285", "286", "287", "288", "289",
"290", "291", "292", "293", "294", "295", "296", "297", "298",
"299", "300"), class = c("nfnGroupedData", "nfGroupedData", "groupedData",
"data.frame"), formula = quote(Conc ~ Tps | Organ), FUN = function (x)
max(x, na.rm = TRUE), order.groups = TRUE)

Spencer Graves a écrit :

>       Regarding the following:           
>
> > mymod3<-nlsList(Conc~Dose * exp(lKe+lKa-lCl) *
> > (exp(-exp(lKe)*Tps)-exp(-exp(lKa)*Tps)) /(exp(lKa)-exp(lKe)),
> >      data=mydata,
> >      start= c(lKe=-2.77, lKa=-1.41, lCl=-1.13)
> > Error in model.frame(formula, rownames, variables, varnames, extras,
> > extranames,  :
> >         variable lengths differ
>
>       This example is NOT self contained and is entirely too 
> complicated for me to try to replicate it myself in a reasonable 
> period of time.  I will therefore ask one short question:  Are all the 
> variable names in the "nlsList" call either columns of "mydata" or 
> parameters to be estimated and therefore spelled out in "start"?  If I 
> were you, I'd check this all very carefully, being especially careful 
> about the distinction between "lCl" and "lC1", in particular.
>
>       If you'd like further help with this, I suggest you try to find 
> the simplest possible example that generates problem you don't 
> understand, then try to recast that example into one that is 
> completely self contained, either a data set in the standard R or nlme 
> distribution  or numbers that one can generate with a very few lines 
> of code.  If you use random numbers, please "set.seed", to increase 
> your confidence that someone else will see what you see.  (And please 
> review the posting guide! "www.R-project.org/posting-guide.html".  
> Doing so may increase your chances of getting more useful information 
> more quickly.)
>
>       spencer graves
>
> Patrick Giraudoux wrote:
>
>> Dear listers,
>>
>> I am trying to fit a model using nlsList() using alternately a 
>> SSfol() selfstart function or its developped equivalent formulae.
>>
>> This preliminary trial works well
>>
>> mydata<-groupedData(Conc~Tps|Organ,data=mydata)
>> mymod1<-nls(Conc~SSfol(Dose,Tps,lKe,lKa,lCl),data=mydata)
>>
>> as well as a developped form:
>>
>> mymod2<-nls(Conc~Dose * exp(lKe+lKa-lCl) * 
>> (exp(-exp(lKe)*Tps)-exp(-exp(lKa)*Tps)) /(exp(lKa)-exp(lKe)),
>>     data=mydata,
>>     start= c(lKe=-2.77, lKa=-1.41, lCl=-1.13)
>>     )
>>
>> However when trying to fit the model with nlsList, I get:
>>
>> mymod3<-nlsList(Conc~Dose * exp(lKe+lKa-lCl) * 
>> (exp(-exp(lKe)*Tps)-exp(-exp(lKa)*Tps)) /(exp(lKa)-exp(lKe)),
>>      data=mydata,
>>      start= c(lKe=-2.77, lKa=-1.41, lCl=-1.13)
>>      )
>> Error in model.frame(formula, rownames, variables, varnames, extras, 
>> extranames,  :
>>         variable lengths differ
>> Error in model.frame(formula, rownames, variables, varnames, extras, 
>> extranames,  :
>>         variable lengths differ
>> Error in model.frame(formula, rownames, variables, varnames, extras, 
>> extranames,  :
>>         variable lengths differ
>>
>> Or specifying  the grouping factor explicitely:
>>
>> mymod3<-nlsList(Conc~Dose * exp(lKe+lKa-lCl) * 
>> (exp(-exp(lKe)*Tps)-exp(-exp(lKa)*Tps)) /(exp(lKa)-exp(lKe))|Organ,
>>      data=mydata,
>>      start= c(lKe=-2.77, lKa=-1.41, lCl=-1.13)
>>      )
>>
>> Error in model.frame(formula, rownames, variables, varnames, extras, 
>> extranames,  :
>>         variable lengths differ
>> Error in model.frame(formula, rownames, variables, varnames, extras, 
>> extranames,  :
>>         variable lengths differ
>> Error in model.frame(formula, rownames, variables, varnames, extras, 
>> extranames,  :
>>         variable lengths differ
>>
>>
>> I cannot find out why the grouping factor cannot be used (it has the 
>> same length as the other variables...)
>>
>> Another strange thing occurs: in the example given in the help of 
>> nlsList.selfstart, the following command works  well:
>>
>>  fm1 <- nlsList(SSasympOff, CO2)
>>
>> However its seemingly equivalent applied to the case above fails:
>>
>> mymod4<-nlsList(SSfol,data=mydata)
>> Error in eval(expr, envir, enclos) : object "input" not found
>> Error in eval(expr, envir, enclos) : object "input" not found
>> Error in eval(expr, envir, enclos) : object "input" not found
>>
>>
>> Any hint/suggestion appreciated.
>>
>> Kind regards,
>>
>> Patrick Giraudoux
>>
>> ______________________________________________
>> R-help@stat.math.ethz.ch mailing list
>> https://stat.ethz.ch/mailman/listinfo/r-help
>> PLEASE do read the posting guide! 
>> http://www.R-project.org/posting-guide.html
>

______________________________________________
R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html Received on Fri Feb 17 20:54:14 2006

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