# 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

Updated on: 09-Sep-2020

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