On this R-data statistics page, you will find information about the flower data set which pertains to Flower Characteristics. The flower data set is found in the cluster R package. You can load the flower data set in R by issuing the following command at the console data("flower"). This will load the data into a variable called flower. If R says the flower data set is not found, you can try installing the package by issuing this command install.packages("cluster") and then attempt to reload the data. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the flower R data set. The size of this file is about 596 bytes.

Flower Characteristics

Description

8 characteristics for 18 popular flowers.

Usage

data(flower)

Format

A data frame with 18 observations on 8 variables:

R project statistics dataset table

[ , "V1"]	factor	winters
[ , "V2"]	factor	shadow
[ , "V3"]	factor	tubers
[ , "V4"]	factor	color
[ , "V5"]	ordered	soil
[ , "V6"]	ordered	preference
[ , "V7"]	numeric	height
[ , "V8"]	numeric	distance

V1

winters, is binary and indicates whether the plant may be left in the garden when it freezes.

V2

shadow, is binary and shows whether the plant needs to stand in the shadow.

V3

tubers, is asymmetric binary and distinguishes between plants with tubers and plants that grow in any other way.

V4

color, is nominal and specifies the flower's color (1 = white, 2 = yellow, 3 = pink, 4 = red, 5 = blue).

V5

soil, is ordinal and indicates whether the plant grows in dry (1), normal (2), or wet (3) soil.

V6

preference, is ordinal and gives someone's preference ranking going from 1 to 18.

V7

height, is interval scaled, the plant's height in centimeters.

V8

distance, is interval scaled, the distance in centimeters that should be left between the plants.

References

Struyf, Hubert and Rousseeuw (1996), see agnes.

Examples

data(flower)
## Example 2 in ref
daisy(flower, type = list(asymm = 3))
daisy(flower, type = list(asymm = c(1, 3), ordratio = 7))

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Dataset imported from https://www.r-project.org.