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Apr
21
revised R error: `contrasts<-`(`*tmp*`, value = contr.funs[1 + isOF[nn]])
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Apr
21
revised R error: `contrasts<-`(`*tmp*`, value = contr.funs[1 + isOF[nn]])
added 1058 characters in body
Apr
21
revised R error: `contrasts<-`(`*tmp*`, value = contr.funs[1 + isOF[nn]])
edited tags
Apr
21
revised Missing data and Attributes selection
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Apr
21
comment R error: `contrasts<-`(`*tmp*`, value = contr.funs[1 + isOF[nn]])
I'm sorry I didn't get ur point. I'm new to R. can you explain ur point in some details?
Apr
21
comment R error: `contrasts<-`(`*tmp*`, value = contr.funs[1 + isOF[nn]])
That is part of it. str(mydata) 'data.frame': 50000 obs. of 273 variables: $ CLICK_FLG : int 0 0 0 0 0 0 0 0 0 0 ... $ OPEN_FLG :Factor w/ 2 levels "N","Y": 1 1 1 1 1 1 ... $ ADDR_VER_CD : Factor w/ 4 levels "","M","N","Y": 1 1 1 1 1 1 1 1 1 1 ... $ AQI :Factor w/ 6 levels "","E","G","M",..: 2 2 2 2 2 2 2 2 2 2 ... $ BIRD_QTY : int 0 NA 0 NA NA 0 0 0 0 0 ...
Apr
21
comment R error: `contrasts<-`(`*tmp*`, value = contr.funs[1 + isOF[nn]])
@MYaseen208 can you please describe more. my data has factors with 2 or more levels, int, num. some of the int columns has only 1 value. could that be the reason?
Apr
21
asked R error: `contrasts<-`(`*tmp*`, value = contr.funs[1 + isOF[nn]])
Apr
21
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Apr
21
revised Missing data and Attributes selection
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Apr
21
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Apr
20
comment Missing data and feature selection
I thought of eliminating bcz the value is missing for ALL records except very few (like 20 records of 1,785,000 records). Also the validation data (9500 records) has totally missing data for that variable. It's loke I have this column with no information at all so I just can't understand how its presence will be valuable for training process! For Q2, [1 refers to music preference, 3 to reading preference, 5 to activity preference]. The goal is to predict if the user will response to email by click(Y) or notClick(N). No missing data for DV. Only nearly 1% in training set response by Y.
Apr
20
asked taking data sample in R
Apr
20
asked Missing data and feature selection
Apr
20
comment Regression Model for categorical data
thank you for your answer. My problem with weka that it gives the memory error message when I open the csv file, i.e it even can't read the data mentioned above, I divided it to smaller csv files and the maximum records it was able to read only 100,000 even though I fixed the heap size to 2G (i have 4G RAM). any ideas about this?
Apr
20
asked Missing data and Attributes selection
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