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Editorial Team
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Editorial Team
Asked: June 12, 20262026-06-12T01:11:23+00:00 2026-06-12T01:11:23+00:00

I have a table with 10 different variables. Now I would like to calculate

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I have a table with 10 different variables. Now I would like to calculate various things like mean, Q1, Q3, SD, median, IQR,Skewness and Kurtosis in R.

I can calculate all these individually but is their any way where I can just run them in a loop getting me the values for all the above things.

Thank You.
Senthil

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  1. Editorial Team
    Editorial Team
    2026-06-12T01:11:24+00:00Added an answer on June 12, 2026 at 1:11 am
    set.seed(1)
    df <- data.frame(a=rnorm(10),b=rnorm(10))
    summarydist <- function(x) {
      y1 <- summary(x)
      y2 <- IQR(x)
      names(y2) <- "IQR"
      require(moments)
      y3 <- skewness(x)
      names(y3) <- "Skewness"
      y4 <- kurtosis(x)
      names(y4) <- "kurtosis"
      c(y1,y2,y3,y4)
    
    } 
    sapply(df,summarydist)
    
    #                  a          b
    #Min.     -0.8356000 -2.2150000
    #1st Qu.  -0.5462000 -0.0377500
    #Median    0.2566000  0.4919000
    #Mean      0.1322000  0.2488000
    #3rd Qu.   0.5537000  0.9132000
    #Max.      1.5950000  1.5120000
    #IQR       1.0998807  0.9509302
    #Skewness  0.2961938 -1.1871418
    #kurtosis  2.2752871  3.8598299
    
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