Problems with k-NN regression in R -

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i trying run knnreg package caret. reason, training set works:

> summary(train1)        v1                v2             v3               13     : 10474   1      :  6435   7      :  8929       10     : 10315   2      :  6435   6      :  8895       4      : 10272   3      :  6435   9      :  8892       1      : 10244   4      :  6435   10     :  8892       2      : 10238   7      :  6435   15     :  8874       24     : 10228   8      :  6435   40     :  8870                          (other):359799   (other):382960   (other):368218

while 1 won't work:

> summary(train2)         v1              v2               v3                   v4        13     : 10474   1      :  6436   7      :  8929   christmas   :  5946    10     : 10315   2      :  6436   6      :  8895   labor day   :  8861    4      : 10272   3      :  6438   9      :  8892   none        :391909    1      : 10244   4      :  6435   10     :  8892   super bowl  :  8895    2      : 10238   7      :  6435   15     :  8874   thanksgiving:  5959    24     : 10228   8      :  6435   40     :  8870                          (other):359799   (other):382960   (other):368218

here target vector:

> summary(target)    min. 1st qu.  median    mean 3rd qu.    max.    -499    200    712   1980   20210  693100

the error during prediction phase:

> fit <- knnreg(train2, target, k = 2) > prediction <- predict(fit,  newdata=test) error in knnregtrain(train = list(v1 = c(1l, 1l, 1l, 1l, 1l, 1l, 1l,  :    na/nan/inf in foreign function call (arg 5) in addition: warning messages: 1: in knnregtrain(train = list(v1 = c(1l, 1l, 1l, 1l, 1l, 1l, 1l,  :   nas introduced coercion 2: in knnregtrain(train = list(v1 = c(1l, 1l, 1l, 1l, 1l, 1l, 1l,  :   nas introduced coercion

while test set:

> summary(test)      v1            v2           v3                    v4        13     : 2836   1      :  1755   51     : 3002   christmas   :  2988    4      : 2803   2      :  1755   49     : 2989   labor day   :     0    19     : 2799   3      :  1755   52     : 2988   none        :106136    2      : 2797   4      :  1755   50     : 2986   super bowl  :  2964    27     : 2791   7      :  1755   6      : 2984   thanksgiving:  2976    24     : 2790   8      :  1755   47     : 2976                          (other):98248   (other):104534   (other):97139

what missing?

edit: switching v4 set labels '1', '2', ... fixes problem. algorithm considers features numerical though they're factors?

i realized knnreg receive numerical values , when tried train model train1, considered values numerical (when in fact categorical). train2 returns error because v4 not numerical, , knnreg can't convert numerical either.


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