How to save the summary statistics into a data frame in R?

When we find the summary statistics of a data frame then the output is returned as a table and each of the column records the minimum, first quartile, median, median, third quartile, and maximum with their names. If we want to save this summary as a data frame then it is better to calculate it with apply function and store it as data.frame.

Example

Consider the below data frame −

 Live Demo

x1<-rpois(20,5) x2<-rexp(20,2) x3<-rexp(20,5) x4<-runif(20,5,10) x5<-runif(20,5,12) df1<-data.frame(x1,x2,x3,x4,x5) df1

Output

  x1       x2          x3       x4       x5 1 10 0.318955383 0.021788087 6.418559 8.407760 2 2 0.682127794 0.354887266 7.915153 7.691196 3 8 0.093838493 0.750094498 5.825129 5.047835 4 7 0.298823558 0.008525539 5.481506 5.025790 5 7 0.031303249 0.491977567 7.143065 11.964555 6 4 0.125743637 0.165031313 6.778808 5.755208 7 2 0.245636217 0.274977357 9.224668 7.930684 8 4 1.222748429 0.034911250 6.300662 10.025192 9 4 0.447608813 0.122677772 5.115722 10.197774 10 7 0.114562157 0.400451206 9.311998 11.103992 11 4 0.252932058 0.200755263 6.672940 9.255076 12 4 0.164882561 0.085901924 8.158944 10.293423 13 6 0.236620346 0.132488792 7.732131 10.930689 14 7 0.019540590 0.076331686 6.882222 9.289458 15 5 0.002908304 0.008934306 5.929365 10.552569 16 6 0.547663136 0.350376081 7.144703 5.159983 17 2 0.345556123 0.144144203 8.153868 7.918402 18 3 0.306435164 0.053920204 7.604212 11.124177 19 9 1.121258744 0.015824366 8.298107 9.531429 20 6 1.139374780 0.301424552 8.646805 11.471353

Finding the summary of df1 −

Example

summary(df1)

Output

     x1             x2                   x3              x4 Min. : 2.00    Min. :0.002908    Min. :0.008526    Min. :5.116 1st Qu.: 4.00  1st Qu.:0.122948  1st Qu.:0.049168  1st Qu.:6.389 Median : 5.50  Median :0.275878  Median :0.138317  Median :7.144 Mean : 5.35    Mean :0.385926    Mean :0.199771    Mean :7.237 3rd Qu.: 7.00  3rd Qu.:0.472622  3rd Qu.:0.313662  3rd Qu.:8.155 Max. :10.00    Max. :1.222748    Max. :0.750094    Max. :9.312       x5 Min. : 5.026 1st Qu.: 7.862 Median : 9.410 Mean : 8.934 3rd Qu.:10.647 Max. :11.965

Finding the summary of df1 and saving it as a data frame in a new object −

Example

df1_summary<-as.data.frame(apply(df1,2,summary)) df1_summary

Output

         x1          x2             x3          x4           x5 Min.    2.00    0.002908304    0.008525539    5.115722    5.025790 1st Qu. 4.00    0.122948267    0.049167965    6.389085    7.861600 Median  5.50     0.275877808   0.138316497    7.143884    9.410443 Mean    5.35    0.385925977    0.199771162    7.236928    8.933827 3rd Qu. 7.00    0.472622394    0.313662434    8.155137    10.647099 Max.    10.00   1.222748429   0.750094498     9.311998    11.964555

Example

is.data.frame(df1_summary)

Output

[1] TRUE

Let’s have a look at another example −

Example

 Live Demo

y1<-sample(1:100,20) y2<-sample(1:10,20,replace=TRUE) y3<-sample(20:100,20,replace=TRUE) y4<-sample(50:100,20,replace=TRUE) y5<-rpois(20,15) df2<-data.frame(y1,y2,y3,y4,y5) df2

Output

  y1 y2 y3 y4 y5 1 23 6  64 52 17 2 90 2  95 93 17 3 45 8  44 95 14 4  8 10 32 86 10 5 79 8  29 63 14 6 36 9  60 77 16 7 67 8  31 55 16 8 39 9  27 58 11 9 33 9  90 82 15 10 38 4 34 95 11 11 99 1 68 68 19 12 28 3 58 86 6 13 81 8 54 83 16 14 87 2 25 50 20 15 53 1 90 77 10 16 10 9 23 79 14 17 41 7 93 53 12 18 97 7 100 75 17 19 1  4 67 60 15 20 80 7 27 54 17

Example

df2_summary<-as.data.frame(apply(df2,2,summary)) df2_summary

Output

          y1      y2      y3       y4       y5 Min.    1.00    1.00    23.00    50.00    6.00 1st Qu. 31.75   3.75    30.50    57.25    11.75 Median  43.00   7.00    56.00    76.00    15.00 Mean    51.75   6.10    55.55    72.05    14.35 3rd Qu. 80.25   8.25    73.50    83.75    17.00 Max.    99.00   10.00    100.00  95.00    20.00