Section 36 Data Analysis: Function summary

  • Read the help file for the function summary

  • Use the function summary for the full data.frame

  • Note how the summary information are presented for different types of variables.



##summary

'data.frame':   100 obs. of  5 variables:
 $ ID : chr  "S1" "S2" "S3" "S4" ...
 $ Wt : num  11.17 11.42 9.78 9.09 11.21 ...
 $ Age: num  1.59 1.89 1.12 1.51 1.66 1.77 1.09 1.07 1.56 NA ...
 $ Sex: chr  "M" "M" "M" "M" ...
 $ Vac: logi  TRUE TRUE FALSE FALSE TRUE FALSE ...
$names
[1] "ID"  "Wt"  "Age" "Sex" "Vac"

$row.names
  [1]   1   2   3   4   5   6   7   8   9  10  11  12  13  14  15  16  17
 [18]  18  19  20  21  22  23  24  25  26  27  28  29  30  31  32  33  34
 [35]  35  36  37  38  39  40  41  42  43  44  45  46  47  48  49  50  51
 [52]  52  53  54  55  56  57  58  59  60  61  62  63  64  65  66  67  68
 [69]  69  70  71  72  73  74  75  76  77  78  79  80  81  82  83  84  85
 [86]  86  87  88  89  90  91  92  93  94  95  96  97  98  99 100

$class
[1] "data.frame"
summary(DF)
      ID                  Wt              Age            Sex           
 Length:100         Min.   : 5.240   Min.   :1.020   Length:100        
 Class :character   1st Qu.: 8.815   1st Qu.:1.260   Class :character  
 Mode  :character   Median :10.980   Median :1.530   Mode  :character  
                    Mean   :10.489   Mean   :1.515                     
                    3rd Qu.:11.825   3rd Qu.:1.790                     
                    Max.   :14.950   Max.   :2.000                     
                    NA's   :1        NA's   :1                         
    Vac         
 Mode :logical  
 FALSE:47       
 TRUE :53