[R] lme, nlsList, nlsList.selfStart
Patrick Giraudoux
patrick.giraudoux at univ-fcomte.fr
Fri Feb 17 12:07:36 CET 2006
Well, right, Dose was indeed in the global environment and not in the
data.frame. Changing it with
mydata2$Dose<-100 # the real dose at the beginning of the experiment
improves the thing in a sense... but I face a new error:
mymod3<-nlsList(Conc+1 ~ 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 exp(-exp(lKa) * Conc + 1 ~ Tps) :
Non-numeric argument to mathematical function
Error in exp(-exp(lKa) * Conc + 1 ~ Tps) :
Non-numeric argument to mathematical function
Error in exp(-exp(lKa) * Conc + 1 ~ Tps) :
Non-numeric argument to mathematical function
I have checked the variables in the data.frame with:
> sapply(mydata2,is.factor)
Tps Conc Organ Dose
FALSE FALSE TRUE FALSE
> sapply(mydata2,is.character)
Tps Conc Organ Dose
FALSE FALSE FALSE FALSE
So everything looks OK on this side...
Furthermore, I have still this "old" error intact:
> 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
I am really sorry for calling help and boring everybody on this likely
trivial issue (this looks like asking a community to participate to
debogging line by line, a shame!!!), but I must admit that I am really
lost...
Thanks for your concern,
Kind regards,
Patrick
Prof Brian Ripley a écrit :
> We don't have Dose, and I think that is where the error lies. If Dose
> were part of mydata2, this is likely to work, but otherwise it is Dose
> which has the wrong length.
>
> ?nlsList says
>
> data: a data frame in which to interpret the variables named in
> 'model'.
>
> and it means it: you must get all the variables from there.
>
>
> On Fri, 17 Feb 2006, Patrick Giraudoux wrote:
>
>> 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 at 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 at 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
>>
>
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