[R] Help Required for R Markdown function.

[John Kane]

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]]
>
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> and provide commented, minimal, self-contained, reproducible code.
>


-- 
John Kane
Kingston ON Canada

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