[R] How to use R to perform prediction based on history data

[yu su]

Thank you very much, it works cool!

On Tue, Aug 18, 2009 at 9:38 AM, Gabor
Grothendieck<ggrothendieck at gmail.com> wrote:
> Please read the last line to every message on r-help and note the
> request to provide reproducible code.
>
> Anyways, try this:
>
> Lines <- "Field1 Field2 Field3     Field4  ResultField
> 1231    CA       TRUE    443        TRUE
> 23231  NC       TRUE    123        FALSE
> 1231    CA        FALSE    243        TRUE
> 23231  NC       TRUE    123 NA"
>
> DF <- read.table(textConnection(Lines), header = TRUE)
>
> # logistic regression using first 3 rows
> mod <- glm(ResultField ~., DF[1:3, ], family = binomial)
>
> # prediction using 4th row
> predict(mod, DF[4, 1:4], type = "response")
>
> and also have a look at the caret package.
>
> On Fri, Aug 14, 2009 at 10:27 PM, Jack Su<jacksuyu at gmail.com> wrote:
>> Say I have a csv file, each row contains several fields, one of them
>> are whether the row is success.
>>
>> In history data, I have all the fields including the result of whether
>> it is success. In future data, I only have fields without the result.
>>
>> For example:
>>
>> history data:
>>
>> Field1 Field2 Field3     Field4  ResultField
>> 1231    CA       TRUE    443        TRUE
>> 23231  NC       TRUE    123        FALSE
>> 1231    CA        FALSE    243        TRUE
>>
>> The future data:
>> Field1 Field2   Field3     Field4
>> 23231  NC       TRUE    123
>>
>>
>>
>> I am newbie in R and statistics, I just feel R could have some
>> mechanism to give the probably of success rate based on history data.
>>
>> I tried to read in the csv data, and try to call "factor" on the list,
>> but I am seeing error message:
>> Error in sort.list(unique.default(x), na.last = TRUE) :
>>
>> Any idea are highly welcome.
>>
>> Thanks in advance.
>>
>> ______________________________________________
>> R-help at r-project.org mailing list
>> https://stat.ethz.ch/mailman/listinfo/r-help
>> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
>>
>