If I have a df with 30 rows and 10 columns, and I want to create a new data frame by slicing, what would be the output if I apply the following code? How many rows would produce?
new_df<- df [c(1:13),]
I am confused with this question
If I have a df with 30 rows and 10 columns, and I want to create a new data frame by slicing, what would be the output if I apply the following code? How many rows would produce?
new_df<- df [c(1:13),]
I am confused with this question
dim(mtcars)
#> [1] 32 11
# rows first, can be a single or sequence but if not continuous by index
# must be c(1,2,3,6,) like
# columns second: if only selecting column can do dat[2:6] or dat[,2:6]
(new_df<- mtcars[1:13,])
#> 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
Created on 2022-11-13 by the reprex package (v2.0.1)
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