# dummify

0th

Percentile

##### Convert Data to Numeric Values by Constructing Dummy Variables

Converts data of any kind to numeric values. A factor is expanded to a set of dummy variables.

Keywords
math
##### Usage
dummify(x)
##### Arguments
x

Vector, factor, matrix or data frame to be converted.

##### Details

This function converts data (such as a factor) to numeric values in order that the user may calculate, for example, the mean, variance, covariance and correlation of the data.

If x is a numeric vector or integer vector, it is returned unchanged.

If x is a logical vector, it is converted to a 0-1 matrix with 2 columns. The first column contains a 1 if the logical value is FALSE, and the second column contains a 1 if the logical value is TRUE.

If x is a complex vector, it is converted to a matrix with 2 columns, containing the real and imaginary parts.

If x is a factor, the result is a matrix of 0-1 dummy variables. The matrix has one column for each possible level of the factor. The (i,j) entry is equal to 1 when the ith factor value equals the jth level, and is equal to 0 otherwise.

If x is a matrix or data frame, the appropriate conversion is applied to each column of x.

Note that, unlike model.matrix, this command converts a factor into a full set of dummy variables (one column for each level of the factor).

##### Value

A numeric matrix.

• dummify
##### Examples
# NOT RUN {
chara <- sample(letters[1:3], 8, replace=TRUE)
logi <- (runif(8) < 0.3)
comp <- round(4*runif(8) + 3*runif(8) * 1i, 1)
nume <- 8:1 + 0.1
df <- data.frame(nume, chara, logi, comp)
df
dummify(df)
# }

Documentation reproduced from package spatstat, version 1.61-0, License: GPL (>= 2)

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