prmap | R Documentation |
Attribute based brand maps
prmap(
dataset,
brand,
attr,
pref = "",
nr_dim = 2,
hcor = FALSE,
data_filter = "",
envir = parent.frame()
)
dataset |
Dataset |
brand |
A character variable with brand names |
attr |
Names of numeric variables |
pref |
Names of numeric brand preference measures |
nr_dim |
Number of dimensions |
hcor |
Use polycor::hetcor to calculate the correlation matrix |
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") |
envir |
Environment to extract data from |
See https://radiant-rstats.github.io/docs/multivariate/prmap.html for an example in Radiant
A list of all variables defined in the function as an object of class prmap
summary.prmap
to summarize results
plot.prmap
to plot results
prmap(computer, brand = "brand", attr = "high_end:business") %>% str()
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