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1 Package desirability February 15, 2013 Version 1.05 Date Title Desirabiliy Function Optimization and Ranking Author Max Kuhn Description S3 classes for multivariate optimization using the desirability function by Derringer and Suich (1980) Maintainer Max Kuhn Suggests lattice License GPL-2 Repository CRAN Date/Publication :36:09 NeedsCompilation no R topics documented: dmax predict.dmax Index 6 1
2 2 dmax dmax Desirability Functions Description Functions implementing multivariate optimization and ranking using the desirability function approach described in Derringer and Suich (1980) Usage dmax(low, high, scale = 1, tol = NULL,...) dmin(low, high, scale = 1, tol = NULL,...) dtarget(low, target, high, lowscale = 1, highscale = 1, tol = NULL,...) darb(x, d, tol = NULL,...) dbox(low, high, tol = NULL,...) dcategorical(values, tol = NULL,...) doverall(...) Arguments low high target scale lowscale highscale x d values tol a constant to define the desirability function for dmax, dmin, dtarget and dbox a constant to define the desirability function for dmax, dmin, dtarget and dbox a constant to define the desirability function for dmax, dmin, dtarget and dbox the scaling factor for dmax and dmin. Values less than one make the criteria more difficult to satisfy while values greater than one make it easier. the scaling factor for dtarget. This bends the curve between the points low and target. Values less than one make the criteria more difficult to satisfy while values greater than one make it easier. the scaling factor for dtarget. This bends the curve between the points high and target. Values less than one make the criteria more difficult to satisfy while values greater than one make it easier. a set of input values a set of desirabilites between zero and one (inclusive) that match the length of x a named numeric vector of possible values an optional tolerance for zero desirability. When this is non-null, zero desirabilites are replaced with this value... For doverall, this is one or more desirability objects. For the other methods, this argument is not currently used
3 predict.dmax 3 Details Value The functions dmax, dmin, dtarget ande doverall are the basic equations used by Derringer and Suich (1980). dbox is a simple step funciton between two points. darb can be used to create other shapes that do not fall into the other funcional forms. See the package vignette or the references for more details a list. Common values are: tol call the value specified by the tol argument the origianl function call Author(s) Max Kuhn References Derringer, G. and Suich, R. (1980), Simultaneous Optimization of Several Response Variables. Journal of Quality Technology 12, See Also predict.dmax Examples dmax.default(1,3) dmax(1,3) predict.dmax Predict method for desirability functions Description Usage Predicted values based on desirability objects ## S3 method for class dmax ## S3 method for class dmin ## S3 method for class dtarget ## S3 method for class darb
4 4 predict.dmax ## S3 method for class dbox ## S3 method for class dcategorical ## S3 method for class doverall predict(object, newdata = data.frame(na, ncol = length(object$d)), all = FALSE,...) Arguments object newdata all Details missing... no currently used a object of class: dmax, dmin, dtarget, darb, dbox or doverall values of the response for predicting desirability a logical (for predict.doverall only); should the individual desirabilities also be returned? a number between 0 and 1 for missing values (the internally estimated value is used by default) The responses are translated into desirability units. Value a vector, unless predict.doverall is used with all=true, in which case a matrix is returned. Author(s) Max Kuhn References Derringer, G. and Suich, R. (1980), Simultaneous Optimization of Several Response Variables. Journal of Quality Technology 12, See Also dmax Examples d1 <- dmin(1,3) d2 <- dtarget(1, 2, 3) d3 <- dcategorical(c("a" =.1, "b" =.7)) dall <- doverall(d1, d2, d3) outcomes <- data.frame(seq(0, 4, length = 10), seq(0.5, 4.5, length = 10), sample(letters[1:2], 10, replace = TRUE))
5 predict.dmax 5 names(outcomes) <- c("x1", "x1", "x3") predict(d1, outcomes[,2]) predict(d2, outcomes[,2]) predict(d3, outcomes[,3]) predict(dall, outcomes) predict(dall, outcomes, all = TRUE)
6 Index Topic utilities dmax, 2 predict.dmax, 3 darb (dmax), 2 dbox (dmax), 2 dcategorical (dmax), 2 dmax, 2, 4 dmin (dmax), 2 doverall (dmax), 2 dtarget (dmax), 2 predict.darb (predict.dmax), 3 predict.dbox (predict.dmax), 3 predict.dcategorical (predict.dmax), 3 predict.dmax, 3, 3 predict.dmin (predict.dmax), 3 predict.doverall (predict.dmax), 3 predict.dtarget (predict.dmax), 3 6
The desirability Package
Max Kuhn max.kuhn@pfizer.com April 26, 27 Introduction The desirability package contains S3 classes for multivariate optimization using the desirability function approach of Harrington (965) using functional
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