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How to round the summary output in R?
To round the output of summary function in R, we can use digits argument while applying the summary function.
For example, if we have a data frame called df then to find the summary statistics with two digits in the output we can use the below given command −
summary(df,digits=2)
Example 1
Following snippet creates a dataframe −
head(iris,20)
The following dataframe is created −
Sepal.Length Sepal.Width Petal.Length Petal.Width Species 1 5.1 3.5 1.4 0.2 setosa 2 4.9 3.0 1.4 0.2 setosa 3 4.7 3.2 1.3 0.2 setosa 4 4.6 3.1 1.5 0.2 setosa 5 5.0 3.6 1.4 0.2 setosa 6 5.4 3.9 1.7 0.4 setosa 7 4.6 3.4 1.4 0.3 setosa 8 5.0 3.4 1.5 0.2 setosa 9 4.4 2.9 1.4 0.2 setosa 10 4.9 3.1 1.5 0.1 setosa 11 5.4 3.7 1.5 0.2 setosa 12 4.8 3.4 1.6 0.2 setosa 13 4.8 3.0 1.4 0.1 setosa 14 4.3 3.0 1.1 0.1 setosa 15 5.8 4.0 1.2 0.2 setosa 16 5.7 4.4 1.5 0.4 setosa 17 5.4 3.9 1.3 0.4 setosa 18 5.1 3.5 1.4 0.3 setosa 19 5.7 3.8 1.7 0.3 setosa 20 5.1 3.8 1.5 0.3 setosa
To round the output of summary function in R, add the following code to the above snippet −
summary(iris,digits=2)
Output
If you execute all the above given snippets as a single program, it generates the following output −
Sepal.Length Sepal.Width Petal.Length Petal.Width Species Min. :4.3 Min. :2.0 Min. :1.0 Min. :0.1 setosa :50 1st Qu.:5.1 1st Qu.:2.8 1st Qu.:1.6 1st Qu.:0.3 versicolor:50 Median :5.8 Median :3.0 Median :4.3 Median :1.3 virginica :50 Mean :5.8 Mean :3.1 Mean :3.8 Mean :1.2 3rd Qu.:6.4 3rd Qu.:3.3 3rd Qu.:5.1 3rd Qu.:1.8 Max. :7.9 Max. :4.4 Max. :6.9 Max. :2.5
Example 2
Following snippet creates a dataframe −
head(mtcars,20)
The following dataframe is created −
mpg cyl disp hp drat wt qsec vs am gear carb Mazda RX4 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4 Mazda RX4 Wag 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4 Datsun 710 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1 Hornet 4 Drive 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1 Hornet Sportabout 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 2 Valiant 18.1 6 225.0 105 2.76 3.460 20.22 1 0 3 1 Duster 360 14.3 8 360.0 245 3.21 3.570 15.84 0 0 3 4 Merc 240D 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4 2 Merc 230 22.8 4 140.8 95 3.92 3.150 22.90 1 0 4 2 Merc 280 19.2 6 167.6 123 3.92 3.440 18.30 1 0 4 4 Merc 280C 17.8 6 167.6 123 3.92 3.440 18.90 1 0 4 4 Merc 450SE 16.4 8 275.8 180 3.07 4.070 17.40 0 0 3 3 Merc 450SL 17.3 8 275.8 180 3.07 3.730 17.60 0 0 3 3 Merc 450SLC 15.2 8 275.8 180 3.07 3.780 18.00 0 0 3 3 Cadillac Fleetwood 10.4 8 472.0 205 2.93 5.250 17.98 0 0 3 4 Lincoln Continental 10.4 8 460.0 215 3.00 5.424 17.82 0 0 3 4 Chrysler Imperial 14.7 8 440.0 230 3.23 5.345 17.42 0 0 3 4 Fiat 128 32.4 4 78.7 66 4.08 2.200 19.47 1 1 4 1 Honda Civic 30.4 4 75.7 52 4.93 1.615 18.52 1 1 4 2 Toyota Corolla 33.9 4 71.1 65 4.22 1.835 19.90 1 1 4 1
To round the output of summary function in R, add the following code to the above snippet −
summary(mtcars,digits=5)
Output
If you execute all the above given snippets as a single program, it generates the following output −
mpg cyl disp hp Min. :10.400 Min. :4.0000 Min. : 71.10 Min. : 52.00 1st Qu.:15.425 1st Qu.:4.0000 1st Qu.:120.83 1st Qu.: 96.50 Median :19.200 Median :6.0000 Median :196.30 Median :123.00 Mean :20.091 Mean :6.1875 Mean :230.72 Mean :146.69 3rd Qu.:22.800 3rd Qu.:8.0000 3rd Qu.:326.00 3rd Qu.:180.00 Max. :33.900 Max. :8.0000 Max. :472.00 Max. :335.00 drat wt qsec vs Min. :2.7600 Min. :1.5130 Min. :14.500 Min. :0.0000 1st Qu.:3.0800 1st Qu.:2.5812 1st Qu.:16.892 1st Qu.:0.0000 Median :3.6950 Median :3.3250 Median :17.710 Median :0.0000 Mean :3.5966 Mean :3.2172 Mean :17.849 Mean :0.4375 3rd Qu.:3.9200 3rd Qu.:3.6100 3rd Qu.:18.900 3rd Qu.:1.0000 Max. :4.9300 Max. :5.4240 Max. :22.900 Max. :1.0000 am gear carb Min. :0.00000 Min. :3.0000 Min. :1.0000 1st Qu.:0.00000 1st Qu.:3.0000 1st Qu.:2.0000 Median :0.00000 Median :4.0000 Median :2.0000 Mean :0.40625 Mean :3.6875 Mean :2.8125 3rd Qu.:1.00000 3rd Qu.:4.0000 3rd Qu.:4.0000 Max. :1.00000 Max. :5.0000 Max. :8.0000
Example 3
Following snippet creates a dataframe −
head(CO2,20)
The following dataframe is created −
Grouped Data: uptake ~ conc | Plant Plant Type Treatment conc uptake 1 Qn1 Quebec nonchilled 95 16.0 2 Qn1 Quebec nonchilled 175 30.4 3 Qn1 Quebec nonchilled 250 34.8 4 Qn1 Quebec nonchilled 350 37.2 5 Qn1 Quebec nonchilled 500 35.3 6 Qn1 Quebec nonchilled 675 39.2 7 Qn1 Quebec nonchilled 1000 39.7 8 Qn2 Quebec nonchilled 95 13.6 9 Qn2 Quebec nonchilled 175 27.3 10 Qn2 Quebec nonchilled 250 37.1 11 Qn2 Quebec nonchilled 350 41.8 12 Qn2 Quebec nonchilled 500 40.6 13 Qn2 Quebec nonchilled 675 41.4 14 Qn2 Quebec nonchilled 1000 44.3 15 Qn3 Quebec nonchilled 95 16.2 16 Qn3 Quebec nonchilled 175 32.4 17 Qn3 Quebec nonchilled 250 40.3 18 Qn3 Quebec nonchilled 350 42.1 19 Qn3 Quebec nonchilled 500 42.9 20 Qn3 Quebec nonchilled 675 43.9
To round the output of summary function in R, add the following code to the above snippet −
summary(CO2,digits=3)
Output
If you execute all the above given snippets as a single program, it generates the following output −
Plant Type Treatment conc uptake Qn1 : 7 Quebec :42 nonchilled:42 Min. : 95 Min. : 7.7 Qn2 : 7 Mississippi:42 chilled :42 1st Qu.: 175 1st Qu.:17.9 Qn3 : 7 Median : 350 Median :28.3 Qc1 : 7 Mean : 435 Mean :27.2 Qc3 : 7 3rd Qu.: 675 3rd Qu.:37.1 Qc2 : 7 Max. :1000 Max. :45.5 (Other):42
Updated on: 23-Nov-2021
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