Subset of multiple years of demographic data of Succisa pratensis collected at the "Bennekomse Meent" site in the Netherlands. Details are described in Jongejans and de Kroon (2005). More information: E.Jongejans@science.ru.nl
Usage
data(dataIPMpackSuccisa2)
Format
The format is:
chr "dataIPMpackSuccisa2"
Details
data-frame with headings:
- size: log of the sum of the products of the number of leaves and the maximum leaf length for rosette and stem leaves at time t
- sizeNext: log of the sum of the products of the number of leaves and the maximum leaf length for rosette and stem leaves at time t+1
- stage: stage of the individual ('continuous' means the plant has a size; NA = not recruited yet) at time t
- stageNext: stage of the individual ('continuous' means the plant has a size; 'dead' = dead) at time t+1
- surv: survival (0 = dead, 1= alive, NAs if not yet recruited)
- offspringNext: type of new recruit ('sexual' = seedling, 'clonal' = side-rosette, NA = not a recruit) at time t+1
- fec1Bolt: whether stems are produced (0 = no stems, 1 = at least 1 stem, NA = not recruited yet) at time t
- fec2Stem: number of stems when stems are produced (NA when fec1Bolt = NA or 0) at time t
- fec3Head: mean number of flower heads per stem when stems are produced (NA when fec1Bolt = NA or 0) at time t
- fec1BoltNext: whether stems are produced (0 = no stems, 1 = at least 1 stem, NA = not recruited yet) at time t+1
- fec2StemNext: number of stems when stems are produced (NA when fec1BoltNext = NA or 0) at time t+1
- fec3HeadNext: mean number of flower heads per stem when stems are produced (NA when fec1BoltNext = NA or 0) at time t+1
- cloning: whether clonal offspring (side-rosettes) are produced by this individual (NA for plants that were not recruited yet at time t)
- clonesNext: number of clonal offspring (side-rosettes) produced when at least on side-rosette is produced (NA when 'cloning' = 0 or NA)
Author(s)
Eelke Jongejans & Hans de Kroon
References
Jongejans, E. and de Kroon, H. (2005) Space versus time variation in the population dynamics of three co-occurring perennial herbs. Journal of Ecology, 93, 681-692.
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.
R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
> library(IPMpack)
Loading required package: Matrix
Loading required package: MASS
Loading required package: nlme
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/IPMpack/dataIPMpackSuccisa2.csv.Rd_%03d_medium.png", width=480, height=480)
> ### Name: dataIPMpackSuccisa2
> ### Title: Succisa pratensis Dataset
> ### Aliases: dataIPMpackSuccisa2
> ### Keywords: datasets
>
> ### ** Examples
>
> data(dataIPMpackSuccisa2)
> print(head(dataIPMpackSuccisa2))
size sizeNext stage stageNext surv offspringNext fec1Bolt fec2Stem
1 NA 6.824145 <NA> continuous NA sexual NA NA
2 NA 5.255197 <NA> continuous NA sexual NA NA
3 5.756455 5.575728 continuous continuous 1 <NA> 0 NA
4 3.231931 NA continuous dead 0 <NA> 0 NA
5 6.733190 7.171465 continuous continuous 1 <NA> 1 1
6 5.478644 5.957354 continuous continuous 1 <NA> 0 NA
fec3Head fec1BoltNext fec2StemNext fec3HeadNext cloning clonesNext
1 NA 0 NA NA NA NA
2 NA 0 NA NA NA NA
3 NA 1 1 1 0 NA
4 NA NA NA NA 0 NA
5 3 0 NA NA 0 NA
6 NA 0 NA NA 0 NA
>
> Sp <- dataIPMpackSuccisa2
>
> fo<-makeFecObj(Sp, Formula = list(fec1Bolt ~ size+size2,
+ fec2Stem ~ size, fec3Head ~ size),
+ Family = c("binomial","poisson","poisson"),
+ Transform=c("none","-1","none"),
+ fecConstants = data.frame(seedsPerHead=50,
+ seedlingEstablishmentRate= 0.02))
There were 42 warnings (use warnings() to see them)
>
> co<-makeClonalObj(Sp, Formula = list(cloning ~ size, clonesNext ~ size),
+ Family = c("binomial","poisson"), Transform=c("none","-1"),
+ offspringSizeExplanatoryVariables = "size")
>
>
>
>
>
>
>
> dev.off()
null device
1
>