R: How do I create a vector of user inputs into my function?












1















I have this function for finding outliers. It works great, except when I make a mistake.



In that case, I need to go all the way back to the beginning.



The function plots the distribution for each variable in a data frame and asks for user input on the indexes related to the outliers.



This is the section of the function. It is embedded in a for loop.



    #mark the extreme outliers, the rest are reasonable outliers
A <- colnames(df_out_id[i])

P <- readline(prompt="Would you like to see the full table of outliers? (enter to skip): ")
if(P == 0 | length(P) > 1){print("Reminder: the following questions identify outliers")}
if(P == "y" | P == "Y"){View(Outliers)}

W <- as.numeric(readline(prompt="Enter the index for first Extreme value on the lower limit (if none, enter 0): "))
Q <- as.numeric(readline(prompt="Enter the index for final Extreme value on the upper limit (if none, enter 0): "))

col <- df_out_id[i]
df_out_id[i] <- sapply(col[[1]], function(x){
if(Q>1 & x %in% Outliers$curr_column[1:Q]) return('Extreme')
if(W>1 & x %in% Outliers$curr_column[W:length(Outliers$curr_column)]) return('Extreme')
else if (x %in% Outliers$curr_column[Q+1:length(Outliers$curr_column)]) return('Reasonable')
else return('Non-Outlier')
})

}

#return a dataframe with outlier status, excluding the outlier ID columns
summary(df_out_id)
return(df_out_id[1:(length(names(df_out_id))-3)])
}


The full function is GetOutliers(), described here.



Is there a way to save any inputs to a vector and then print them at the end of the function?



Specifically, print them when the function successfully completes or in the case it is aborted along the way.










share|improve this question



























    1















    I have this function for finding outliers. It works great, except when I make a mistake.



    In that case, I need to go all the way back to the beginning.



    The function plots the distribution for each variable in a data frame and asks for user input on the indexes related to the outliers.



    This is the section of the function. It is embedded in a for loop.



        #mark the extreme outliers, the rest are reasonable outliers
    A <- colnames(df_out_id[i])

    P <- readline(prompt="Would you like to see the full table of outliers? (enter to skip): ")
    if(P == 0 | length(P) > 1){print("Reminder: the following questions identify outliers")}
    if(P == "y" | P == "Y"){View(Outliers)}

    W <- as.numeric(readline(prompt="Enter the index for first Extreme value on the lower limit (if none, enter 0): "))
    Q <- as.numeric(readline(prompt="Enter the index for final Extreme value on the upper limit (if none, enter 0): "))

    col <- df_out_id[i]
    df_out_id[i] <- sapply(col[[1]], function(x){
    if(Q>1 & x %in% Outliers$curr_column[1:Q]) return('Extreme')
    if(W>1 & x %in% Outliers$curr_column[W:length(Outliers$curr_column)]) return('Extreme')
    else if (x %in% Outliers$curr_column[Q+1:length(Outliers$curr_column)]) return('Reasonable')
    else return('Non-Outlier')
    })

    }

    #return a dataframe with outlier status, excluding the outlier ID columns
    summary(df_out_id)
    return(df_out_id[1:(length(names(df_out_id))-3)])
    }


    The full function is GetOutliers(), described here.



    Is there a way to save any inputs to a vector and then print them at the end of the function?



    Specifically, print them when the function successfully completes or in the case it is aborted along the way.










    share|improve this question

























      1












      1








      1








      I have this function for finding outliers. It works great, except when I make a mistake.



      In that case, I need to go all the way back to the beginning.



      The function plots the distribution for each variable in a data frame and asks for user input on the indexes related to the outliers.



      This is the section of the function. It is embedded in a for loop.



          #mark the extreme outliers, the rest are reasonable outliers
      A <- colnames(df_out_id[i])

      P <- readline(prompt="Would you like to see the full table of outliers? (enter to skip): ")
      if(P == 0 | length(P) > 1){print("Reminder: the following questions identify outliers")}
      if(P == "y" | P == "Y"){View(Outliers)}

      W <- as.numeric(readline(prompt="Enter the index for first Extreme value on the lower limit (if none, enter 0): "))
      Q <- as.numeric(readline(prompt="Enter the index for final Extreme value on the upper limit (if none, enter 0): "))

      col <- df_out_id[i]
      df_out_id[i] <- sapply(col[[1]], function(x){
      if(Q>1 & x %in% Outliers$curr_column[1:Q]) return('Extreme')
      if(W>1 & x %in% Outliers$curr_column[W:length(Outliers$curr_column)]) return('Extreme')
      else if (x %in% Outliers$curr_column[Q+1:length(Outliers$curr_column)]) return('Reasonable')
      else return('Non-Outlier')
      })

      }

      #return a dataframe with outlier status, excluding the outlier ID columns
      summary(df_out_id)
      return(df_out_id[1:(length(names(df_out_id))-3)])
      }


      The full function is GetOutliers(), described here.



      Is there a way to save any inputs to a vector and then print them at the end of the function?



      Specifically, print them when the function successfully completes or in the case it is aborted along the way.










      share|improve this question














      I have this function for finding outliers. It works great, except when I make a mistake.



      In that case, I need to go all the way back to the beginning.



      The function plots the distribution for each variable in a data frame and asks for user input on the indexes related to the outliers.



      This is the section of the function. It is embedded in a for loop.



          #mark the extreme outliers, the rest are reasonable outliers
      A <- colnames(df_out_id[i])

      P <- readline(prompt="Would you like to see the full table of outliers? (enter to skip): ")
      if(P == 0 | length(P) > 1){print("Reminder: the following questions identify outliers")}
      if(P == "y" | P == "Y"){View(Outliers)}

      W <- as.numeric(readline(prompt="Enter the index for first Extreme value on the lower limit (if none, enter 0): "))
      Q <- as.numeric(readline(prompt="Enter the index for final Extreme value on the upper limit (if none, enter 0): "))

      col <- df_out_id[i]
      df_out_id[i] <- sapply(col[[1]], function(x){
      if(Q>1 & x %in% Outliers$curr_column[1:Q]) return('Extreme')
      if(W>1 & x %in% Outliers$curr_column[W:length(Outliers$curr_column)]) return('Extreme')
      else if (x %in% Outliers$curr_column[Q+1:length(Outliers$curr_column)]) return('Reasonable')
      else return('Non-Outlier')
      })

      }

      #return a dataframe with outlier status, excluding the outlier ID columns
      summary(df_out_id)
      return(df_out_id[1:(length(names(df_out_id))-3)])
      }


      The full function is GetOutliers(), described here.



      Is there a way to save any inputs to a vector and then print them at the end of the function?



      Specifically, print them when the function successfully completes or in the case it is aborted along the way.







      r






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      asked Jan 20 at 3:22









      SebastianSebastian

      185112




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