How can I create a boxplot with whiskers?











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I have created a plot with 3 boxplots, but my whiskers are not showing for one of them.



Boxplot



How can I make them show?



This is my data:




Class 3: 5.055052 3.028838 3.423485 6.434745 6.396239 4.114418
3.687380 2.633139 7.356185 5.736677 4.462504 7.137034



Class 4: 4.738094 21.736701 6.716363 10.306583 4.757640 6.265024




My code is as follows:



boxplot(hvol.concentration,class.3, class.4, ylab="8-OHdG Concentration (ng/ml)", main="Boxplot Distribution of 8-OHdG", ylim=c(0,25), pch=16, names=c("Control", "NYHA III", "NYHA IV"))









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    up vote
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    down vote

    favorite












    I have created a plot with 3 boxplots, but my whiskers are not showing for one of them.



    Boxplot



    How can I make them show?



    This is my data:




    Class 3: 5.055052 3.028838 3.423485 6.434745 6.396239 4.114418
    3.687380 2.633139 7.356185 5.736677 4.462504 7.137034



    Class 4: 4.738094 21.736701 6.716363 10.306583 4.757640 6.265024




    My code is as follows:



    boxplot(hvol.concentration,class.3, class.4, ylab="8-OHdG Concentration (ng/ml)", main="Boxplot Distribution of 8-OHdG", ylim=c(0,25), pch=16, names=c("Control", "NYHA III", "NYHA IV"))









    share|improve this question


























      up vote
      1
      down vote

      favorite









      up vote
      1
      down vote

      favorite











      I have created a plot with 3 boxplots, but my whiskers are not showing for one of them.



      Boxplot



      How can I make them show?



      This is my data:




      Class 3: 5.055052 3.028838 3.423485 6.434745 6.396239 4.114418
      3.687380 2.633139 7.356185 5.736677 4.462504 7.137034



      Class 4: 4.738094 21.736701 6.716363 10.306583 4.757640 6.265024




      My code is as follows:



      boxplot(hvol.concentration,class.3, class.4, ylab="8-OHdG Concentration (ng/ml)", main="Boxplot Distribution of 8-OHdG", ylim=c(0,25), pch=16, names=c("Control", "NYHA III", "NYHA IV"))









      share|improve this question















      I have created a plot with 3 boxplots, but my whiskers are not showing for one of them.



      Boxplot



      How can I make them show?



      This is my data:




      Class 3: 5.055052 3.028838 3.423485 6.434745 6.396239 4.114418
      3.687380 2.633139 7.356185 5.736677 4.462504 7.137034



      Class 4: 4.738094 21.736701 6.716363 10.306583 4.757640 6.265024




      My code is as follows:



      boxplot(hvol.concentration,class.3, class.4, ylab="8-OHdG Concentration (ng/ml)", main="Boxplot Distribution of 8-OHdG", ylim=c(0,25), pch=16, names=c("Control", "NYHA III", "NYHA IV"))






      r boxplot errorbar






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      edited Nov 13 at 12:11









      hrbrmstr

      59k584143




      59k584143










      asked Nov 13 at 12:06









      Marierose M. Mina

      112




      112
























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          boxplot(c(4.738094, 21.736701, 6.716363, 10.306583, 4.757640, 6.265024), plot = FALSE)$stats
          ## [,1]
          ## [1,] 4.738094 <<== It's definitely there but the lower bound of the IQR is almost the same as min val
          ## [2,] 4.757640
          ## [3,] 6.490694
          ## [4,] 10.306583 <<== Upper bound of IQR == max val
          ## [5,] 10.306583


          If you make the plot window bigger the grid size will be sufficient to see the lower IQR:



          boxplot(
          c(4.738094, 21.736701, 6.716363, 10.306583, 4.757640, 6.265024),
          horizontal = TRUE
          )


          enter image description here






          share|improve this answer





















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            1 Answer
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            boxplot(c(4.738094, 21.736701, 6.716363, 10.306583, 4.757640, 6.265024), plot = FALSE)$stats
            ## [,1]
            ## [1,] 4.738094 <<== It's definitely there but the lower bound of the IQR is almost the same as min val
            ## [2,] 4.757640
            ## [3,] 6.490694
            ## [4,] 10.306583 <<== Upper bound of IQR == max val
            ## [5,] 10.306583


            If you make the plot window bigger the grid size will be sufficient to see the lower IQR:



            boxplot(
            c(4.738094, 21.736701, 6.716363, 10.306583, 4.757640, 6.265024),
            horizontal = TRUE
            )


            enter image description here






            share|improve this answer

























              up vote
              1
              down vote













              boxplot(c(4.738094, 21.736701, 6.716363, 10.306583, 4.757640, 6.265024), plot = FALSE)$stats
              ## [,1]
              ## [1,] 4.738094 <<== It's definitely there but the lower bound of the IQR is almost the same as min val
              ## [2,] 4.757640
              ## [3,] 6.490694
              ## [4,] 10.306583 <<== Upper bound of IQR == max val
              ## [5,] 10.306583


              If you make the plot window bigger the grid size will be sufficient to see the lower IQR:



              boxplot(
              c(4.738094, 21.736701, 6.716363, 10.306583, 4.757640, 6.265024),
              horizontal = TRUE
              )


              enter image description here






              share|improve this answer























                up vote
                1
                down vote










                up vote
                1
                down vote









                boxplot(c(4.738094, 21.736701, 6.716363, 10.306583, 4.757640, 6.265024), plot = FALSE)$stats
                ## [,1]
                ## [1,] 4.738094 <<== It's definitely there but the lower bound of the IQR is almost the same as min val
                ## [2,] 4.757640
                ## [3,] 6.490694
                ## [4,] 10.306583 <<== Upper bound of IQR == max val
                ## [5,] 10.306583


                If you make the plot window bigger the grid size will be sufficient to see the lower IQR:



                boxplot(
                c(4.738094, 21.736701, 6.716363, 10.306583, 4.757640, 6.265024),
                horizontal = TRUE
                )


                enter image description here






                share|improve this answer












                boxplot(c(4.738094, 21.736701, 6.716363, 10.306583, 4.757640, 6.265024), plot = FALSE)$stats
                ## [,1]
                ## [1,] 4.738094 <<== It's definitely there but the lower bound of the IQR is almost the same as min val
                ## [2,] 4.757640
                ## [3,] 6.490694
                ## [4,] 10.306583 <<== Upper bound of IQR == max val
                ## [5,] 10.306583


                If you make the plot window bigger the grid size will be sufficient to see the lower IQR:



                boxplot(
                c(4.738094, 21.736701, 6.716363, 10.306583, 4.757640, 6.265024),
                horizontal = TRUE
                )


                enter image description here







                share|improve this answer












                share|improve this answer



                share|improve this answer










                answered Nov 13 at 12:17









                hrbrmstr

                59k584143




                59k584143






























                     

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