Assigns a vector of values to an equal-length vector of names.
Details
The %<-% operator and its left-to-right variant (%->%) allow parallel
assignment, similar to (e.g.) Python:
See the zeallot package for a
similar operator with more advanced functionality.
Examples
c(cyl4, cyl6, cyl8) %<-% split(mtcars, mtcars$cyl)
cyl4
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> Datsun 710 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1
#> Merc 240D 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4 2
#> Merc 230 22.8 4 140.8 95 3.92 3.150 22.90 1 0 4 2
#> Fiat 128 32.4 4 78.7 66 4.08 2.200 19.47 1 1 4 1
#> Honda Civic 30.4 4 75.7 52 4.93 1.615 18.52 1 1 4 2
#> Toyota Corolla 33.9 4 71.1 65 4.22 1.835 19.90 1 1 4 1
#> Toyota Corona 21.5 4 120.1 97 3.70 2.465 20.01 1 0 3 1
#> Fiat X1-9 27.3 4 79.0 66 4.08 1.935 18.90 1 1 4 1
#> Porsche 914-2 26.0 4 120.3 91 4.43 2.140 16.70 0 1 5 2
#> Lotus Europa 30.4 4 95.1 113 3.77 1.513 16.90 1 1 5 2
#> Volvo 142E 21.4 4 121.0 109 4.11 2.780 18.60 1 1 4 2
split(mtcars, mtcars$gear) %->% c(G3, G4, G5)
G5
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> Porsche 914-2 26.0 4 120.3 91 4.43 2.140 16.7 0 1 5 2
#> Lotus Europa 30.4 4 95.1 113 3.77 1.513 16.9 1 1 5 2
#> Ford Pantera L 15.8 8 351.0 264 4.22 3.170 14.5 0 1 5 4
#> Ferrari Dino 19.7 6 145.0 175 3.62 2.770 15.5 0 1 5 6
#> Maserati Bora 15.0 8 301.0 335 3.54 3.570 14.6 0 1 5 8
c(model_hp, model_size, model_trans) %<-% purrr::map(
c("hp", "disp + wt", "gear * am"),
~ lm(paste("mpg ~", .x), data = mtcars)
)
summary(model_size)
#>
#> Call:
#> lm(formula = paste("mpg ~", .x), data = mtcars)
#>
#> Residuals:
#> Min 1Q Median 3Q Max
#> -3.4087 -2.3243 -0.7683 1.7721 6.3484
#>
#> Coefficients:
#> Estimate Std. Error t value Pr(>|t|)
#> (Intercept) 34.96055 2.16454 16.151 4.91e-16 ***
#> disp -0.01773 0.00919 -1.929 0.06362 .
#> wt -3.35082 1.16413 -2.878 0.00743 **
#> ---
#> Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
#>
#> Residual standard error: 2.917 on 29 degrees of freedom
#> Multiple R-squared: 0.7809, Adjusted R-squared: 0.7658
#> F-statistic: 51.69 on 2 and 29 DF, p-value: 2.744e-10
#>
summary(model_trans)
#>
#> Call:
#> lm(formula = paste("mpg ~", .x), data = mtcars)
#>
#> Residuals:
#> Min 1Q Median 3Q Max
#> -6.3800 -3.3063 -0.7567 3.1575 9.0200
#>
#> Coefficients:
#> Estimate Std. Error t value Pr(>|t|)
#> (Intercept) 1.277 8.217 0.155 0.87764
#> gear 4.943 2.539 1.947 0.06163 .
#> am 44.578 14.010 3.182 0.00356 **
#> gear:am -9.838 3.614 -2.722 0.01103 *
#> ---
#> Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
#>
#> Residual standard error: 4.512 on 28 degrees of freedom
#> Multiple R-squared: 0.4938, Adjusted R-squared: 0.4396
#> F-statistic: 9.105 on 3 and 28 DF, p-value: 0.0002282
#>