Creates a new data.frame with copies of the original observation, each assigned to a different user-specified value of a variable. Allows the user to look at the effect on predicted values of changing either a single variable or multiple variables.
Value
a data.frame with each row assigned to the one of the new variable combinations.
All variable combinations are returned, eg wiggling two variables with 3 and 4 variables
respectively will return a new dataset with 3 * 4 = 12 observations.
Examples
data(iris)
wiggle(iris[3,], varlist = "Sepal.Width", valueslist = list(c(1, 2, 3, 5)))
#> Sepal.Length Sepal.Width Petal.Length Petal.Width Species
#> 3 4.7 1 1.3 0.2 setosa
#> 31 4.7 2 1.3 0.2 setosa
#> 32 4.7 3 1.3 0.2 setosa
#> 33 4.7 5 1.3 0.2 setosa
wiggle(iris[3:5,], "Sepal.Width", valueslist = list(c(1, 2, 3, 5)))
#> Sepal.Length Sepal.Width Petal.Length Petal.Width Species
#> 3 4.7 1 1.3 0.2 setosa
#> 4 4.6 1 1.5 0.2 setosa
#> 5 5.0 1 1.4 0.2 setosa
#> 31 4.7 2 1.3 0.2 setosa
#> 41 4.6 2 1.5 0.2 setosa
#> 51 5.0 2 1.4 0.2 setosa
#> 32 4.7 3 1.3 0.2 setosa
#> 42 4.6 3 1.5 0.2 setosa
#> 52 5.0 3 1.4 0.2 setosa
#> 33 4.7 5 1.3 0.2 setosa
#> 43 4.6 5 1.5 0.2 setosa
#> 53 5.0 5 1.4 0.2 setosa
wiggle(iris[3,], c("Sepal.Width", "Petal.Length"), list(c(1,2,3,5), c(3,5,6)))
#> Sepal.Length Sepal.Width Petal.Length Petal.Width Species
#> Sepal.Width.3 4.7 1 3 0.2 setosa
#> Sepal.Width.31 4.7 2 3 0.2 setosa
#> Sepal.Width.32 4.7 3 3 0.2 setosa
#> Sepal.Width.33 4.7 5 3 0.2 setosa
#> Sepal.Width.34 4.7 1 5 0.2 setosa
#> Sepal.Width.311 4.7 2 5 0.2 setosa
#> Sepal.Width.321 4.7 3 5 0.2 setosa
#> Sepal.Width.331 4.7 5 5 0.2 setosa
#> Sepal.Width.35 4.7 1 6 0.2 setosa
#> Sepal.Width.312 4.7 2 6 0.2 setosa
#> Sepal.Width.322 4.7 3 6 0.2 setosa
#> Sepal.Width.332 4.7 5 6 0.2 setosa
wiggle(iris[3:5,], c("Sepal.Width", "Petal.Length"), list(c(1,2,3,5), c(3,5,6)))
#> Sepal.Length Sepal.Width Petal.Length Petal.Width Species
#> Sepal.Width.3 4.7 1 3 0.2 setosa
#> Sepal.Width.4 4.6 1 3 0.2 setosa
#> Sepal.Width.5 5.0 1 3 0.2 setosa
#> Sepal.Width.31 4.7 2 3 0.2 setosa
#> Sepal.Width.41 4.6 2 3 0.2 setosa
#> Sepal.Width.51 5.0 2 3 0.2 setosa
#> Sepal.Width.32 4.7 3 3 0.2 setosa
#> Sepal.Width.42 4.6 3 3 0.2 setosa
#> Sepal.Width.52 5.0 3 3 0.2 setosa
#> Sepal.Width.33 4.7 5 3 0.2 setosa
#> Sepal.Width.43 4.6 5 3 0.2 setosa
#> Sepal.Width.53 5.0 5 3 0.2 setosa
#> Sepal.Width.34 4.7 1 5 0.2 setosa
#> Sepal.Width.44 4.6 1 5 0.2 setosa
#> Sepal.Width.54 5.0 1 5 0.2 setosa
#> Sepal.Width.311 4.7 2 5 0.2 setosa
#> Sepal.Width.411 4.6 2 5 0.2 setosa
#> Sepal.Width.511 5.0 2 5 0.2 setosa
#> Sepal.Width.321 4.7 3 5 0.2 setosa
#> Sepal.Width.421 4.6 3 5 0.2 setosa
#> Sepal.Width.521 5.0 3 5 0.2 setosa
#> Sepal.Width.331 4.7 5 5 0.2 setosa
#> Sepal.Width.431 4.6 5 5 0.2 setosa
#> Sepal.Width.531 5.0 5 5 0.2 setosa
#> Sepal.Width.35 4.7 1 6 0.2 setosa
#> Sepal.Width.45 4.6 1 6 0.2 setosa
#> Sepal.Width.55 5.0 1 6 0.2 setosa
#> Sepal.Width.312 4.7 2 6 0.2 setosa
#> Sepal.Width.412 4.6 2 6 0.2 setosa
#> Sepal.Width.512 5.0 2 6 0.2 setosa
#> Sepal.Width.322 4.7 3 6 0.2 setosa
#> Sepal.Width.422 4.6 3 6 0.2 setosa
#> Sepal.Width.522 5.0 3 6 0.2 setosa
#> Sepal.Width.332 4.7 5 6 0.2 setosa
#> Sepal.Width.432 4.6 5 6 0.2 setosa
#> Sepal.Width.532 5.0 5 6 0.2 setosa