I am very new to R studio and am trying to write a line of code that removes an entire row of data if variable one is less than 5 or if variable two is greater than 20, I have ten columns of data total.
Could someone please point me in the right direction?
Thank you in advance.
suppressPackageStartupMessages({library(dplyr)}) # in base rbind(mtcars[which(mtcars[,1] < 20),],mtcars[which(mtcars[,2] > 4),]) #> mpg cyl disp hp drat wt qsec vs am gear carb #> 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 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 #> Dodge Challenger 15.5 8 318.0 150 2.76 3.520 16.87 0 0 3 2 #> AMC Javelin 15.2 8 304.0 150 3.15 3.435 17.30 0 0 3 2 #> Camaro Z28 13.3 8 350.0 245 3.73 3.840 15.41 0 0 3 4 #> Pontiac Firebird 19.2 8 400.0 175 3.08 3.845 17.05 0 0 3 2 #> Ford Pantera L 15.8 8 351.0 264 4.22 3.170 14.50 0 1 5 4 #> Ferrari Dino 19.7 6 145.0 175 3.62 2.770 15.50 0 1 5 6 #> Maserati Bora 15.0 8 301.0 335 3.54 3.570 14.60 0 1 5 8 #> 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 #> Hornet 4 Drive 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1 #> Hornet Sportabout1 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 2 #> Valiant1 18.1 6 225.0 105 2.76 3.460 20.22 1 0 3 1 #> Duster 3601 14.3 8 360.0 245 3.21 3.570 15.84 0 0 3 4 #> Merc 2801 19.2 6 167.6 123 3.92 3.440 18.30 1 0 4 4 #> Merc 280C1 17.8 6 167.6 123 3.92 3.440 18.90 1 0 4 4 #> Merc 450SE1 16.4 8 275.8 180 3.07 4.070 17.40 0 0 3 3 #> Merc 450SL1 17.3 8 275.8 180 3.07 3.730 17.60 0 0 3 3 #> Merc 450SLC1 15.2 8 275.8 180 3.07 3.780 18.00 0 0 3 3 #> Cadillac Fleetwood1 10.4 8 472.0 205 2.93 5.250 17.98 0 0 3 4 #> Lincoln Continental1 10.4 8 460.0 215 3.00 5.424 17.82 0 0 3 4 #> Chrysler Imperial1 14.7 8 440.0 230 3.23 5.345 17.42 0 0 3 4 #> Dodge Challenger1 15.5 8 318.0 150 2.76 3.520 16.87 0 0 3 2 #> AMC Javelin1 15.2 8 304.0 150 3.15 3.435 17.30 0 0 3 2 #> Camaro Z281 13.3 8 350.0 245 3.73 3.840 15.41 0 0 3 4 #> Pontiac Firebird1 19.2 8 400.0 175 3.08 3.845 17.05 0 0 3 2 #> Ford Pantera L1 15.8 8 351.0 264 4.22 3.170 14.50 0 1 5 4 #> Ferrari Dino1 19.7 6 145.0 175 3.62 2.770 15.50 0 1 5 6 #> Maserati Bora1 15.0 8 301.0 335 3.54 3.570 14.60 0 1 5 8 # with dplyr mtcars %>% filter(mpg < 20 | cyl > 4) #> 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 #> 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 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 #> Dodge Challenger 15.5 8 318.0 150 2.76 3.520 16.87 0 0 3 2 #> AMC Javelin 15.2 8 304.0 150 3.15 3.435 17.30 0 0 3 2 #> Camaro Z28 13.3 8 350.0 245 3.73 3.840 15.41 0 0 3 4 #> Pontiac Firebird 19.2 8 400.0 175 3.08 3.845 17.05 0 0 3 2 #> Ford Pantera L 15.8 8 351.0 264 4.22 3.170 14.50 0 1 5 4 #> Ferrari Dino 19.7 6 145.0 175 3.62 2.770 15.50 0 1 5 6 #> Maserati Bora 15.0 8 301.0 335 3.54 3.570 14.60 0 1 5 8
Created on 2020-09-20 by the reprex package (v0.3.0.9001)
You can remove rows with the subset command
x<- c(1,2,3,4,5) y <- c(6,7,8,9,10) z <- c(11,12,13,14,15) df <- data.frame(x, y, z) df df <- subset(df, x>3 | y<7) df
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