Retrieve versions available for a given pin.

pin_versions(name, board = NULL, full = FALSE, ...)

Arguments

name

The exact name of the pin to match when searching.

board

The board name used to find the pin.

full

Should the full versioned paths be shown? Defaults to FALSE.

...

Additional parameters.

Examples

# define temporary board with versioning enabled board <- board_temp(versions = TRUE) # cache the mtcars dataset pin(mtcars, name = "mtcars", board = board) # cache variation of the mtcars dataset pin(mtcars * 10, name = "mtcars", board = board) # print the mtcars versions versions <- pin_versions("mtcars", board = board) versions
#> # A tibble: 2 x 1 #> version #> <chr> #> 1 f947bcc #> 2 af44ffe
# retrieve the original version pin_get("mtcars", version = versions$version[[1]], board = board)
#> mpg cyl disp hp drat wt qsec vs am gear carb #> Mazda RX4 210 60 1600 1100 39.0 26.20 164.6 0 10 40 40 #> Mazda RX4 Wag 210 60 1600 1100 39.0 28.75 170.2 0 10 40 40 #> Datsun 710 228 40 1080 930 38.5 23.20 186.1 10 10 40 10 #> Hornet 4 Drive 214 60 2580 1100 30.8 32.15 194.4 10 0 30 10 #> Hornet Sportabout 187 80 3600 1750 31.5 34.40 170.2 0 0 30 20 #> Valiant 181 60 2250 1050 27.6 34.60 202.2 10 0 30 10 #> Duster 360 143 80 3600 2450 32.1 35.70 158.4 0 0 30 40 #> Merc 240D 244 40 1467 620 36.9 31.90 200.0 10 0 40 20 #> Merc 230 228 40 1408 950 39.2 31.50 229.0 10 0 40 20 #> Merc 280 192 60 1676 1230 39.2 34.40 183.0 10 0 40 40 #> Merc 280C 178 60 1676 1230 39.2 34.40 189.0 10 0 40 40 #> Merc 450SE 164 80 2758 1800 30.7 40.70 174.0 0 0 30 30 #> Merc 450SL 173 80 2758 1800 30.7 37.30 176.0 0 0 30 30 #> Merc 450SLC 152 80 2758 1800 30.7 37.80 180.0 0 0 30 30 #> Cadillac Fleetwood 104 80 4720 2050 29.3 52.50 179.8 0 0 30 40 #> Lincoln Continental 104 80 4600 2150 30.0 54.24 178.2 0 0 30 40 #> Chrysler Imperial 147 80 4400 2300 32.3 53.45 174.2 0 0 30 40 #> Fiat 128 324 40 787 660 40.8 22.00 194.7 10 10 40 10 #> Honda Civic 304 40 757 520 49.3 16.15 185.2 10 10 40 20 #> Toyota Corolla 339 40 711 650 42.2 18.35 199.0 10 10 40 10 #> Toyota Corona 215 40 1201 970 37.0 24.65 200.1 10 0 30 10 #> Dodge Challenger 155 80 3180 1500 27.6 35.20 168.7 0 0 30 20 #> AMC Javelin 152 80 3040 1500 31.5 34.35 173.0 0 0 30 20 #> Camaro Z28 133 80 3500 2450 37.3 38.40 154.1 0 0 30 40 #> Pontiac Firebird 192 80 4000 1750 30.8 38.45 170.5 0 0 30 20 #> Fiat X1-9 273 40 790 660 40.8 19.35 189.0 10 10 40 10 #> Porsche 914-2 260 40 1203 910 44.3 21.40 167.0 0 10 50 20 #> Lotus Europa 304 40 951 1130 37.7 15.13 169.0 10 10 50 20 #> Ford Pantera L 158 80 3510 2640 42.2 31.70 145.0 0 10 50 40 #> Ferrari Dino 197 60 1450 1750 36.2 27.70 155.0 0 10 50 60 #> Maserati Bora 150 80 3010 3350 35.4 35.70 146.0 0 10 50 80 #> Volvo 142E 214 40 1210 1090 41.1 27.80 186.0 10 10 40 20
# retrieve the variation version pin_get("mtcars", version = versions$version[[2]], board = board)
#> 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 #> 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 #> 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 #> 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 #> 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 #> 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 #> Volvo 142E 21.4 4 121.0 109 4.11 2.780 18.60 1 1 4 2