Inverts items (as in, in a questionnaire), by calling invertItem on all relevant items.

invertItem(item, fullRange = NULL, ignorePreviousInversion = FALSE)

invertItems(dat, items = NULL, ...)

Arguments

item

The vector to invert.

fullRange

The full range; will otherwise be derived from the vector.

ignorePreviousInversion

Whether to avoid inverting items that were already inverted.

dat

The dataframe containing the variables to invert.

items

The names or indices of the variables to invert. If not supplied (i.e. NULL), all variables in the dataframe will be inverted.

...

Arguments (parameters) passed on to data.frame when recreating that after having used lapply.

Value

The dataframe with the specified items inverted.

See also

invertItem

Author

Gjalt-Jorn Peters

Maintainer: Gjalt-Jorn Peters gjalt-jorn@userfriendlyscience.com

Examples


invertItems(mtcars, c('cyl'));
#>                      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   8 108.0  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   4 360.0 175 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   4 360.0 245 3.21 3.570 15.84  0  0    3    4
#> Merc 240D           24.4   8 146.7  62 3.69 3.190 20.00  1  0    4    2
#> Merc 230            22.8   8 140.8  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   4 275.8 180 3.07 4.070 17.40  0  0    3    3
#> Merc 450SL          17.3   4 275.8 180 3.07 3.730 17.60  0  0    3    3
#> Merc 450SLC         15.2   4 275.8 180 3.07 3.780 18.00  0  0    3    3
#> Cadillac Fleetwood  10.4   4 472.0 205 2.93 5.250 17.98  0  0    3    4
#> Lincoln Continental 10.4   4 460.0 215 3.00 5.424 17.82  0  0    3    4
#> Chrysler Imperial   14.7   4 440.0 230 3.23 5.345 17.42  0  0    3    4
#> Fiat 128            32.4   8  78.7  66 4.08 2.200 19.47  1  1    4    1
#> Honda Civic         30.4   8  75.7  52 4.93 1.615 18.52  1  1    4    2
#> Toyota Corolla      33.9   8  71.1  65 4.22 1.835 19.90  1  1    4    1
#> Toyota Corona       21.5   8 120.1  97 3.70 2.465 20.01  1  0    3    1
#> Dodge Challenger    15.5   4 318.0 150 2.76 3.520 16.87  0  0    3    2
#> AMC Javelin         15.2   4 304.0 150 3.15 3.435 17.30  0  0    3    2
#> Camaro Z28          13.3   4 350.0 245 3.73 3.840 15.41  0  0    3    4
#> Pontiac Firebird    19.2   4 400.0 175 3.08 3.845 17.05  0  0    3    2
#> Fiat X1-9           27.3   8  79.0  66 4.08 1.935 18.90  1  1    4    1
#> Porsche 914-2       26.0   8 120.3  91 4.43 2.140 16.70  0  1    5    2
#> Lotus Europa        30.4   8  95.1 113 3.77 1.513 16.90  1  1    5    2
#> Ford Pantera L      15.8   4 351.0 264 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   4 301.0 335 3.54 3.570 14.60  0  1    5    8
#> Volvo 142E          21.4   8 121.0 109 4.11 2.780 18.60  1  1    4    2