Package 'Rmolt'

Percentage of molting feathers in a 9 primarie bird

Description

A dataset containing the percentage of molting feathers in a 9 primarie bird

Usage

dcb

Format

A data frame with 47 rows and 2 variables:

P

name of the feather

molt

percentage of molting (between 0 and 1)

...

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Percentage of molting feathers in an only 10 primaries bird

Description

A dataset containing the percentage of molting feathers in an only 10 primaries bird

Usage

df

Format

A data frame with 10 rows and 2 variables:

P

name of the feather

molt

percentage of molting (between 0 and 1)

...

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Percentage of molting feathers in a 10 primarie bird

Description

A dataset containing the percentage of molting feathers in a 10 primarie bird

Usage

fcf

Format

A data frame with 48 rows and 2 variables:

P

name of the feather

molt

percentage of molting (between 0 and 1)

...

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moult_color

Description

moult_color

Arguments

i	a value to run the loop
data	a data table to choose the color

Value

color of the feather depending of the percentage, called for side effect

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percentage

Description

percentage

Usage

percentage()

Value

Don't return value, just display percentage box and color on graphs

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primarie_10

Description

primarie_10

Usage

primarie_10(i, data)

Arguments

i	a value to run the loop
data	a data table to choose the color

Value

No return value but etablish a molt graph for a 9 primaries' bird @examples primarie_10(2,fcf)

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primarie_9

Description

primarie_9

Arguments

i	a value to run the loop
data	a data table to choose the color

Value

No return value but etablish a molt graph for a 9 primaries' bird

Examples

primarie_9(2,dcb)

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Rmolt

Description

An easy way to create molt graph of passerines wings. 3 different graph available: a full passerine wing with 9 primaries; argument : primarie=9 a full passerine wing with 10 primaries; argument: primarie=10 only the 10 primaries; argument: primarie="10_0"

The data table must have 2 rows and the order of the feathers must be like this:

for 9 primaries: c("CM10","CM9","CM8","CM7","CM6","CM5","CM4","CM3","CM2","CM1", "CP1", "CP2", "CP3","CP4","CP5","CP6","CP7","CP8", "CP9", "CC", "A1", "A2", "A3", "T3","T2","T1", "S6", "S5","S4","S3","S2","S1" ,"P1", "P2","P3","P4","P5","P6","P7","P8","P9", "R1","R2","R3","R4","R5","R6")

for 10 primaries: c("CM10","CM9","CM8","CM7","CM6","CM5","CM4","CM3","CM2","CM1", "CP1", "CP2", "CP3","CP4","CP5","CP6","CP7","CP8", "CP9", "CC", "A1", "A2", "A3", "T3","T2","T1", "S6", "S5","S4","S3","S2","S1" ,"P1", "P2","P3","P4","P5","P6","P7","P8","P9","P10" "R1","R2","R3","R4","R5","R6")

for only 10 primaries: c("P1", "P2","P3","P4","P5","P6","P7","P8","P9","P10")

dcb, fcf and df are examples data table include in this package

Arguments

data	a data table to create the graph
primaries	an argument to choose the graph

Details

Rmolt

Value

Don't return value, print molt graph.

Author(s)

c(person("Martin","Bozon",email = "[email protected]", role = c("cre","aut")))

Examples

data(df)
Rmolt(df,"10_0")

data(fcf)
Rmolt(fcf,10)


data(dcb)
Rmolt(dcb,9)

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