Ranger could not work with caret

Ok, the data is pasted below

But on the same data (everything the same) and with other models like 
RF, SVM etc, it works fine.

 > dput(head(tr, 30))

structure(list(recordnumber = c(0, 0.02, 0.04, 0.06, 0.07, 0.08,
0.09, 0.1, 0.11, 0.12, 0.13, 0.14, 0.16, 0.17, 0.18, 0.23, 0.24,
0.25, 0.28, 0.29, 0.3, 0.31, 0.32, 0.33, 0.35, 0.36, 0.37, 0.38,
0.4, 0.41), projectname = structure(c(1L, 1L, 1L, 1L, 2L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L,
4L, 4L, 4L, 4L, 4L, 4L, 5L, 6L), levels = c("de", "erb", "gal",
"X", "hst", "slp", "spl", "Y"), class = "factor"), cat2 = structure(c(3L,
3L, 3L, 3L, 3L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 9L, 9L,
9L, 11L, 5L, 4L, 6L, 8L, 3L, 9L, 9L, 9L, 9L, 6L, 7L), levels = 
c("Avionics",
"application_ground", "avionicsmonitoring", "batchdataprocessing",
"communications", "datacapture", "launchprocessing", "missionplanning",
"monitor_control", "operatingsystem", "realdataprocessing", "science",
"simulation", "utility"), class = "factor"), forg = structure(c(2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L), levels = c("f",
"g"), class = "factor"), center = structure(c(2L, 2L, 2L, 2L,
2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 6L), levels = c("1", "2",
"3", "4", "5", "6"), class = "factor"), year = c(0.5, 0.5, 0.5,
0.5, 0.6875, 0.5625, 0.5625, 0.8125, 0.5625, 0.875, 0.5625, 0.75,
0.5625, 0.8125, 0.75, 0.9375, 0.9375, 0.9375, 0.6875, 0.6875,
0.6875, 0.6875, 0.875, 1, 0.9375, 0.9375, 0.9375, 0.9375, 0.5625,
0.25), mode = structure(c(3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L), levels = c("embedded", "organic", "semidetached"
), class = "factor"), rely = structure(c(4L, 4L, 4L, 4L, 4L,
4L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 3L, 3L, 3L, 3L,
3L, 4L, 4L, 4L, 3L, 3L, 3L, 3L, 4L), levels = c("vl", "l", "n",
"h", "vh", "xh"), class = "factor"), data = structure(c(2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L,
5L, 5L, 5L, 5L, 2L, 2L, 3L, 3L, 3L, 3L, 4L, 2L), levels = c("vl",
"l", "n", "h", "vh", "xh"), class = "factor"), cplx = structure(c(4L,
4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 3L, 4L,
3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L), levels = c("vl",
"l", "n", "h", "vh", "xh"), class = "factor"), time = structure(c(3L,
3L, 3L, 3L, 3L, 6L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 3L,
3L, 5L, 5L, 5L, 5L, 3L, 3L, 3L, 3L, 3L, 3L, 5L, 3L), levels = c("vl",
"l", "n", "h", "vh", "xh"), class = "factor"), stor = structure(c(3L,
3L, 3L, 3L, 3L, 6L, 3L, 3L, 3L, 3L, 3L, 3L, 6L, 3L, 3L, 3L, 3L,
3L, 5L, 5L, 5L, 5L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 3L), levels = c("vl",
"l", "n", "h", "vh", "xh"), class = "factor"), virt = structure(c(2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 4L, 2L, 2L, 2L, 2L, 3L, 3L,
3L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 2L, 2L), levels = c("vl",
"l", "n", "h", "vh", "xh"), class = "factor"), turn = structure(c(2L,
2L, 2L, 2L, 2L, 4L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L,
3L, 4L, 4L, 4L, 4L, 2L, 2L, 3L, 3L, 3L, 3L, 4L, 2L), levels = c("vl",
"l", "n", "h", "vh", "xh"), class = "factor"), acap = structure(c(3L,
3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 3L, 3L,
3L, 5L, 5L, 5L, 5L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 3L), levels = c("vl",
"l", "n", "h", "vh", "xh"), class = "factor"), aexp = structure(c(3L,
3L, 3L, 3L, 3L, 4L, 5L, 5L, 5L, 5L, 4L, 5L, 5L, 4L, 5L, 4L, 4L,
4L, 4L, 4L, 4L, 4L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L), levels = c("vl",
"l", "n", "h", "vh", "xh"), class = "factor"), pcap = structure(c(3L,
3L, 3L, 3L, 3L, 4L, 5L, 4L, 5L, 3L, 4L, 4L, 5L, 4L, 4L, 4L, 4L,
4L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 3L, 4L, 4L), levels = c("vl",
"l", "n", "h", "vh", "xh"), class = "factor"), vexp = structure(c(3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 2L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 2L, 3L), levels = c("vl",
"l", "n", "h", "vh", "xh"), class = "factor"), lexp = structure(c(4L,
4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 2L, 1L, 4L, 4L, 4L, 4L, 3L, 3L,
3L, 4L, 4L, 4L, 4L, 4L, 4L, 3L, 3L, 4L, 3L, 4L, 3L), levels = c("vl",
"l", "n", "h", "vh", "xh"), class = "factor"), modp = structure(c(4L,
4L, 4L, 4L, 4L, 4L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 5L, 5L, 5L, 5L, 4L, 4L, 3L, 3L, 4L, 3L, 4L, 4L), levels = c("vl",
"l", "n", "h", "vh", "xh"), class = "factor"), tool = structure(c(3L,
3L, 3L, 3L, 3L, 4L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 5L, 5L, 5L, 5L, 3L, 3L, 3L, 3L, 4L, 3L, 3L, 1L), levels = c("vl",
"l", "n", "h", "vh", "xh"), class = "factor"), sced = structure(c(2L,
2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 2L, 3L), levels = c("vl",
"l", "n", "h", "vh", "xh"), class = "factor"), equivphyskloc = c(0.025534,
0.006945, 0.008988, 0.002655, 0.067102, 0.006741, 0.019508, 0.005209,
0.101215, 0.010622, 0.101215, 0.019508, 0.152283, 0.031253, 0.014401,
0.014401, 0.037892, 0.009294, 0.015729, 0.012154, 0.032377, 0.035339,
0.004698, 0.009703, 0.00572, 0.012358, 0.091002, 0.007252, 0.180778,
0.307527), act_effort = c(117.6, 31.2, 25.2, 10.8, 352.8, 72,
72, 24, 360, 36, 215, 48, 324, 60, 48, 90, 210, 48, 82, 62, 170,
192, 18, 50, 42, 60, 444, 42, 1248, 2400)), row.names = c(1L,
3L, 5L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 17L, 18L, 19L,
24L, 25L, 26L, 29L, 30L, 31L, 32L, 33L, 34L, 36L, 37L, 38L, 39L,
41L, 42L), class = "data.frame")



On Thu, Jun 30, 2022 at 11:28 PM Rui Barradas <ruipbarradas at sapo.pt 
<mailto:ruipbarradas at sapo.pt>> wrote:

    Hello,

    Please post data in dput format, without it it's difficult to tell.
    If I substitute

    mpg for act_effort
    mtcars for tr

    keeping everything else, I don't get any errors.
    And the error message says clearly that the error is in tr (data).

    Can you post the output of dput(head(tr, 30))?

    Rui Barradas


    ?s 19:32 de 30/06/2022, Neha gupta escreveu:

     > I posted it for the second time as I didn't get any response from

    group

     > members. I am not sure if some problem is with the question.
     >
     >
     >
     > I cannot run the "ranger" model with caret. I am only using the

    farff and

     > caret libraries and the following code:
     >
     > boot <- trainControl(method = "cv", number=10)
     >
     > c1 <-train(act_effort ~ ., data = tr,
     >? ? ? ? ? ? ? ? method = "ranger",
     >? ? ? ? ? ? ? ? ?tuneLength = 5,
     >? ? ? ? ? ? ? ? metric = "MAE",
     >? ? ? ? ? ? ? ? preProc = c("center", "scale", "nzv"),
     >? ? ? ? ? ? ? ? trControl = boot)
     >
     > The error I get is the repeating of the following message until I

    interrupt

     > it.
     >
     > Error: mtry can not be larger than number of variables in data.

    Ranger will

     > EXIT now.
     >
     >? ? ? ?[[alternative HTML version deleted]]
     >
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