Find mean of all numeric columns of a Data Frame

lapply(mtcars, class) # find class of all predictors
## $mpg
## [1] "numeric"
## 
## $cyl
## [1] "character"
## 
## $disp
## [1] "numeric"
## 
## $hp
## [1] "numeric"
## 
## $drat
## [1] "numeric"
## 
## $wt
## [1] "numeric"
## 
## $qsec
## [1] "numeric"
## 
## $vs
## [1] "numeric"
## 
## $am
## [1] "character"
## 
## $gear
## [1] "character"
## 
## $carb
## [1] "numeric"
mtcars[, sapply(mtcars, is.numeric)]
##                      mpg  disp  hp drat    wt  qsec vs carb
## Mazda RX4           21.0 160.0 110 3.90 2.620 16.46  0    4
## Mazda RX4 Wag       21.0 160.0 110 3.90 2.875 17.02  0    4
## Datsun 710          22.8 108.0  93 3.85 2.320 18.61  1    1
## Hornet 4 Drive      21.4 258.0 110 3.08 3.215 19.44  1    1
## Hornet Sportabout   18.7 360.0 175 3.15 3.440 17.02  0    2
## Valiant             18.1 225.0 105 2.76 3.460 20.22  1    1
## Duster 360          14.3 360.0 245 3.21 3.570 15.84  0    4
## Merc 240D           24.4 146.7  62 3.69 3.190 20.00  1    2
## Merc 230            22.8 140.8  95 3.92 3.150 22.90  1    2
## Merc 280            19.2 167.6 123 3.92 3.440 18.30  1    4
## Merc 280C           17.8 167.6 123 3.92 3.440 18.90  1    4
## Merc 450SE          16.4 275.8 180 3.07 4.070 17.40  0    3
## Merc 450SL          17.3 275.8 180 3.07 3.730 17.60  0    3
## Merc 450SLC         15.2 275.8 180 3.07 3.780 18.00  0    3
## Cadillac Fleetwood  10.4 472.0 205 2.93 5.250 17.98  0    4
## Lincoln Continental 10.4 460.0 215 3.00 5.424 17.82  0    4
## Chrysler Imperial   14.7 440.0 230 3.23 5.345 17.42  0    4
## Fiat 128            32.4  78.7  66 4.08 2.200 19.47  1    1
## Honda Civic         30.4  75.7  52 4.93 1.615 18.52  1    2
## Toyota Corolla      33.9  71.1  65 4.22 1.835 19.90  1    1
## Toyota Corona       21.5 120.1  97 3.70 2.465 20.01  1    1
## Dodge Challenger    15.5 318.0 150 2.76 3.520 16.87  0    2
## AMC Javelin         15.2 304.0 150 3.15 3.435 17.30  0    2
## Camaro Z28          13.3 350.0 245 3.73 3.840 15.41  0    4
## Pontiac Firebird    19.2 400.0 175 3.08 3.845 17.05  0    2
## Fiat X1-9           27.3  79.0  66 4.08 1.935 18.90  1    1
## Porsche 914-2       26.0 120.3  91 4.43 2.140 16.70  0    2
## Lotus Europa        30.4  95.1 113 3.77 1.513 16.90  1    2
## Ford Pantera L      15.8 351.0 264 4.22 3.170 14.50  0    4
## Ferrari Dino        19.7 145.0 175 3.62 2.770 15.50  0    6
## Maserati Bora       15.0 301.0 335 3.54 3.570 14.60  0    8
## Volvo 142E          21.4 121.0 109 4.11 2.780 18.60  1    2
lapply(mtcars, mean) # returns a list 
## $mpg
## [1] 20.09062
## 
## $cyl
## [1] NA
## 
## $disp
## [1] 230.7219
## 
## $hp
## [1] 146.6875
## 
## $drat
## [1] 3.596563
## 
## $wt
## [1] 3.21725
## 
## $qsec
## [1] 17.84875
## 
## $vs
## [1] 0.4375
## 
## $am
## [1] NA
## 
## $gear
## [1] NA
## 
## $carb
## [1] 2.8125
sapply(mtcars, mean) # user-friendly alternative that returns a vector
##        mpg        cyl       disp         hp       drat         wt 
##  20.090625         NA 230.721875 146.687500   3.596563   3.217250 
##       qsec         vs         am       gear       carb 
##  17.848750   0.437500         NA         NA   2.812500