Tmode: Calculates the statistical mode of a distribution of numbers...

In Chitran1987/StatsChitran: StatsChitran

Calculates the statistical mode of a distribution of numbers listed in a vector

Description

The function calculates the mode of na vector and returns (only the mode when bt=T) or the mode and the frequency table (when bt=F)

Usage

Tmode(v,bt=T)

Arguments

v

The vector whose mode/frequency table you want to find

bt

The value of bt decides the return type. If bt is set to TRUE(default), it returns only the mode and its(the mode's) frequency as a dataframe, but if bt is set to FALSE, it returns a list whose first item is the mode(modes) of the distribution (in case of multimodal distributions) and the second item of the list is a two column dataframe, such that the variables in question are the first column of the dataframe and the frequency of occurrence of the variables are the second column of the data frame

Details

The function returns either a dataframe with the max value(mode value) and the frequency or a list with two objects 1.The data frame of the mode and its frequency 2.The data frame comprising every element with its occurring frequency

Value

The function returns either a dataframe with the max value(mode value) and the frequency or a list with two objects 1.The data frame of the mode and its frequency 2.The data frame comprising every element with its occurring frequency

Author(s)

Chitran Ghosal

Examples

rm(list=ls())
v<-c(89,84,87,81,89,87,86,91,90,78,89,87,99,83,89)
Tmode(v, bt=F)

[[1]]
  val fr
1  89  4

[[2]]
   val fr
1   89  4
2   84  1
3   87  3
4   81  1
5   86  1
6   91  1
7   90  1
8   78  1
9   99  1
10  83  1



## The function is currently defined as
function (v, bt=T)
{
df<-data.frame(matrix(NA, ncol = 2))
  colnames(df)<-c('val','fr')
  for (i in 1:length(v)) {



    if(i==1){
      df$val[i]<-v[i]
      df$fr[i]<-1
    }
    else{
      if(sum(df$val==v[i])!=0){
        vc<-df$val==v[i]
        for (j in 1:length(vc)) {
          if(vc[j]==T){
            df$fr[j]<-df$fr[j]+1
          }
        }
      }
      else{
        #df$val<-c(df$val,v[i])
        #df$fr<-c(df$fr,1)
        df_temp<-data.frame(matrix(c(v[i],1), byrow = T, ncol = 2, nrow = 1))
        colnames(df_temp)<-colnames(df)
        df<-rbind(df,df_temp)
      }
    }






  }
  df_new<-subset(df, df$fr==max(df$fr))
  if(bt==T){
    return(df_new)
  }
  else{
    L<-list(df_new, df)
    return(L)
  }
  }

Chitran1987/StatsChitran documentation built on Feb. 23, 2025, 8:30 p.m.