[R] Help Required for R Markdown function.

Kishor raut r@utk|@hor01 @end|ng |rom gm@||@com
Sun Feb 28 05:19:15 CET 2021


Thanks, I'll check it out.

On Sun, 28 Feb, 2021, 1:37 AM John Kane, <jrkrideau using gmail.com> wrote:

> The "confusionMatrix" function appears to be from the 'caret' package.
> Have you loaded 'caret' with the library(caret) command?
>
> On Sat, 27 Feb 2021 at 14:20, Kishor raut <rautkishor01 using gmail.com> wrote:
>
>> Respected Sir,
>>
>> I Mr Kishor Tried to get help online but wont found the solution so
>> writting an email.
>>
>> Step1: While writting in rmarkdown all codes get executted very well till
>> the fuction
>> Confusionmatrix were written on it.
>>
>> Step2: As confusionmatrix command inserted following error is on screen
>> board
>>
>>
>> processing file: RMarkdown.Rmd
>>   |.....                                                                 |
>>   7%
>>   ordinary text without R code
>>
>>   |.........                                                             |
>>  13%
>> label: unnamed-chunk-1
>>   |..............                                                        |
>>  20%
>>   ordinary text without R code
>>
>>   |...................                                                   |
>>  27%
>> label: unnamed-chunk-2
>>   |.......................                                               |
>>  33%
>>   ordinary text without R code
>>
>>   |............................                                          |
>>  40%
>> label: unnamed-chunk-3
>>   |.................................                                     |
>>  47%
>>   ordinary text without R code
>>
>>   |.....................................                                 |
>>  53%
>> label: unnamed-chunk-4
>>   |..........................................                            |
>>  60%
>>   ordinary text without R code
>>
>>   |...............................................                       |
>>  67%
>> label: unnamed-chunk-5
>>   |...................................................                   |
>>  73%
>>   ordinary text without R code
>>
>>   |........................................................              |
>>  80%
>> label: unnamed-chunk-6
>>   |.............................................................         |
>>  87%
>>   ordinary text without R code
>>
>>   |.................................................................     |
>>  93%
>> label: unnamed-chunk-7
>> Quitting from lines 98-104 (RMarkdown.Rmd)
>> Error in confusionMatrix(p1, train$CTestresult) :
>>   could not find function "confusionMatrix"
>> Calls: <Anonymous> ... handle -> withCallingHandlers -> withVisible ->
>> eval
>> -> eval
>>
>> Execution halted
>>
>> Step4: As codes were written these
>>
>>
>> Using function “sample” the data takes into sample of the specified size
>> from the stored data
>> ```{r}
>> set.seed(1234)
>> ind<-sample(2,nrow(FEVER1),replace=TRUE, pro = c(0.7,0.3))
>> train<-FEVER1[ind==1,]
>> test<-FEVER1[ind==2,]
>> ```
>>
>> Application of Random Forest
>>
>> ```{r}
>> library(randomForest)
>> set.seed(123)
>> rfmodel<-randomForest(CTestresult~.,data = train,prox=TRUE)    # Random
>> Forest Model
>> plot(rfmodel,main="RandomForest Model")
>> print(rfmodel,train)                    # Printing Outcome of 'model for
>> Training Data
>>
>> ```
>>
>> Prediction using Randome Forest Model
>> ```{r}
>> # Prediction  of RandomForest Intial Model for Test and Train Data
>>
>> ptrain1<-predict(rfmodel,train)              # Predicting model Prediction
>> On Training Data
>>   # First Six Outcomes with prediction
>> head(ptrain1)                              # Printing First Six Prediction
>> using Random Forest Model
>> head(train$CTestresult)                       # Printing First Six (6)
>> Actual outcomes
>>
>> ```
>>
>>
>> Tuning Model:
>> Tuning of Machine learning model is important step for building good model
>> for best outcome of research.
>>
>> ```{r}
>> # Tunning RandomForest  Model using Algorithm
>>
>> t<-tuneRF(train[,-11],train$CTestresult, mtryStart = 2,ntreeTry = 100,
>> stepFactor =2,improve = 0.051,trace = TRUE, plot = TRUE, doBest=TRUE)
>>
>>
>> ```
>>
>> Building New Model:
>>
>> New model was build on the basis of tunned model parameters and controls.
>>
>> ```{r}
>> # New Model After Tuning Random Forest Model
>>
>> rf1<-randomForest(CTestresult~.,data = train,ntree = 100, mtry = 8,
>> importance = TRUE,proximity = TRUE)
>>
>> print(rf1)
>> ```
>>
>> Prediction and Confusion MAtrix:
>>
>> outcome of model will mesuare with the help of predictive outcomes with
>> the
>> help of confusion matrix.
>>
>> ```{r}
>> # Prediction using Random Forest and Confusion Matrix for Train Data
>> p1<-predict(rf1,train)
>> cmatrix<-confusionMatrix(p1,train$CTestresult)
>> cmatrix
>>
>>
>> ```
>>
>>
>> I will great thank full if you will help me for to remove the error.
>>
>>
>>
>>
>> --
>> *Kind Regards*
>>
>> Kishor Raut
>> *Cell No.-07387706552*
>>
>>         [[alternative HTML version deleted]]
>>
>> ______________________________________________
>> R-help using r-project.org mailing list -- To UNSUBSCRIBE and more, see
>> 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.
>>
>
>
> --
> John Kane
> Kingston ON Canada
>

	[[alternative HTML version deleted]]



More information about the R-help mailing list