radiant (version 0.1.95)

mds: (Dis)similarity based brand maps (MDS)

Description

(Dis)similarity based brand maps (MDS)

Usage

mds(dataset, mds_id1, mds_id2, mds_dis, data_filter = "", mds_method = "metric", mds_dim_number = 2)

Arguments

dataset

Dataset name (string). This can be a dataframe in the global environment or an element in an r_data list from Radiant

mds_id1

A character variable or factor with unique entries

mds_id2

A character variable or factor with unique entries

mds_dis

A numeric measure of brand dissimilarity

data_filter

Expression entered in, e.g., Data > View to filter the dataset in Radiant. The expression should be a string (e.g., "price > 10000")

mds_method

Apply metric or non-metric MDS

mds_dim_number

Number of dimensions

Value

A list of all variables defined in the function as an object of class mds

Details

See http://vnijs.github.io/radiant/marketing/mds.html for an example in Radiant

See Also

summary.mds to summarize results

plot.mds to plot results

Examples

result <- mds("city","from","to","distance")
result <- mds("diamonds","clarity","cut","price")
summary(result)