We don't have your data file. Therefore your example is not yet reproducible.

If you read the references I provided you in my other email then you will find 
hints and discussion about how to make your example reproducible without giving 
out your actual data. The reprex package mentioned in reference 3 lets you 
verify that we can run your example.

On December 20, 2019 3:46:55 PM PST, Neha gupta <neha.bologn...@gmail.com> 
wrote:
>This is the whole code I provided except the libraries such as
>
>library(caret)
>library(randomForest)
>
>data=read.csv("fault.csv")
>
>inTraining <- createDataPartition(data$bug , p = .75,list = FALSE)
>training <- data [inTraining, ]
>testings <- data [-inTraining, ]
>ctrol = trainControl(method = "repeatedcv", number=5)
>myTrain <- train(bug ~ ., data = training,
>                     method = "rf",
>                    tuneLength = 15,
>                     metric = "MAE",
>                     preProc = c("center", "scale", "zv"),
>                     trControl = ctrol)
>
>On Sat, Dec 21, 2019 at 12:23 AM Neha gupta <neha.bologn...@gmail.com>
>wrote:
>
>>
>> The code is described below: I need to find the RMSE and MAE
>>
>> ///read data which have data types of integer and number.
>> data=read.csv("fault.csv")
>>
>> inTraining <- createDataPartition(data$bug , p = .75,list = FALSE)
>> training <- data [inTraining, ]
>> testings <- data [-inTraining, ]
>> ctrol = trainControl(method = "repeatedcv", number=5)
>> myTrain <- train(bug ~ ., data = training,
>>                      method = "rf",
>>                     tuneLength = 15,
>>                      metric = "MAE",
>>                      preProc = c("center", "scale", "zv"),
>>                      trControl = ctrol)
>>
>> On Fri, Dec 20, 2019 at 11:31 PM Neha gupta
><neha.bologn...@gmail.com>
>> wrote:
>>
>>>   When I run my code, I get the following error and suddenly the
>>> execution of the script stops. Where in my data is the problem?
>>>
>>> Something is wrong; all the MAE metric values are missing:
>>>       RMSE        Rsquared        MAE
>>>  Min.   : NA   Min.   : NA   Min.   : NA
>>>  1st Qu.: NA   1st Qu.: NA   1st Qu.: NA
>>>  Median : NA   Median : NA   Median : NA
>>>  Mean   :NaN   Mean   :NaN   Mean   :NaN
>>>  3rd Qu.: NA   3rd Qu.: NA   3rd Qu.: NA
>>>  Max.   : NA   Max.   : NA   Max.   : NA
>>>  NA's   :8     NA's   :8     NA's   :8
>>> Error: Stopping
>>>
>>
>
>       [[alternative HTML version deleted]]
>
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>PLEASE do read the posting guide
>http://www.R-project.org/posting-guide.html
>and provide commented, minimal, self-contained, reproducible code.

-- 
Sent from my phone. Please excuse my brevity.

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