Función R para dividir un marco de datos en varios marcos de datos en función de su índice

Suppose I have a dataframe with 100 rows of data. I want split the dataframe into multiple dataframe each containing 10 rows. For example, the first separated dataframe has index from 1 to 10, and the second dataframe will have an index from 2 to 11, and the third dataframe will have an index from 3 to 12, and so on. I will use this dataframe to make further analysis.

Intenté usar la función split (), pero solo pude encontrar una manera de dividir el marco de datos de manera uniforme. Pensé que usar un bucle lo simplificaría, pero no he podido hacerlo funcionar.

iterator <- seq(1,100,10)
for (i in iterator){
 df[[i+1]] <- df[1:100,]
}

Intenté algo como esto, pero no me mostró el resultado deseado.

Solución del problema

Nosotros podemos usarslide

library(slider)
library(dplyr)
library(purrr)
slide(seq_len(nrow(df)),.f = ~.x,.after = 9) %>%
 keep(~ length(.x) == 10) %>%
 map(~ df %>% 
 slice(.x))

-pruebas

> slide(1:15,.f = ~.x,.after = 9) %>%
 keep(~length(.x) == 10)
[[1]]
 [1] 1 2 3 4 5 6 7 8 9 10
[[2]]
 [1] 2 3 4 5 6 7 8 9 10 11
[[3]]
 [1] 3 4 5 6 7 8 9 10 11 12
[[4]]
 [1] 4 5 6 7 8 9 10 11 12 13
[[5]]
 [1] 5 6 7 8 9 10 11 12 13 14
[[6]]
 [1] 6 7 8 9 10 11 12 13 14 15

y con conjunto de mtcarsdatos

slide(1:15,.f = ~.x,.after = 9) %>%
 keep(~ length(.x) == 10) %>%
 map(~ mtcars %>% slice(.x))
[[1]]
  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
[[2]]
  mpg cyl disp hp drat wt qsec vs am gear carb
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
[[3]]
  mpg cyl disp hp drat wt qsec vs am gear carb
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
[[4]]
  mpg cyl disp hp drat wt qsec vs am gear carb
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
[[5]]
  mpg cyl disp hp drat wt qsec vs am gear carb
Hornet Sportabout 18.7 8 360.0 175 3.15 3.44 17.02 0 0 3 2
Valiant 18.1 6 225.0 105 2.76 3.46 20.22 1 0 3 1
Duster 360 14.3 8 360.0 245 3.21 3.57 15.84 0 0 3 4
Merc 240D 24.4 4 146.7 62 3.69 3.19 20.00 1 0 4 2
Merc 230 22.8 4 140.8 95 3.92 3.15 22.90 1 0 4 2
Merc 280 19.2 6 167.6 123 3.92 3.44 18.30 1 0 4 4
Merc 280C 17.8 6 167.6 123 3.92 3.44 18.90 1 0 4 4
Merc 450SE 16.4 8 275.8 180 3.07 4.07 17.40 0 0 3 3
Merc 450SL 17.3 8 275.8 180 3.07 3.73 17.60 0 0 3 3
Merc 450SLC 15.2 8 275.8 180 3.07 3.78 18.00 0 0 3 3
[[6]]
  mpg cyl disp hp drat wt qsec vs am gear carb
Valiant 18.1 6 225.0 105 2.76 3.46 20.22 1 0 3 1
Duster 360 14.3 8 360.0 245 3.21 3.57 15.84 0 0 3 4
Merc 240D 24.4 4 146.7 62 3.69 3.19 20.00 1 0 4 2
Merc 230 22.8 4 140.8 95 3.92 3.15 22.90 1 0 4 2
Merc 280 19.2 6 167.6 123 3.92 3.44 18.30 1 0 4 4
Merc 280C 17.8 6 167.6 123 3.92 3.44 18.90 1 0 4 4
Merc 450SE 16.4 8 275.8 180 3.07 4.07 17.40 0 0 3 3
Merc 450SL 17.3 8 275.8 180 3.07 3.73 17.60 0 0 3 3
Merc 450SLC 15.2 8 275.8 180 3.07 3.78 18.00 0 0 3 3
Cadillac Fleetwood 10.4 8 472.0 205 2.93 5.25 17.98 0 0 3 4

O usando base Rconembed

lapply(asplit(embed(seq_len(nrow(df)), 10)[, 10:1], 1)
 function(x) df[x,])