| stage_weight | R Documentation |
Function stage_weight() creates a data frame summarizing the weighting
of individuals of different stages, stage-stage combinations, ages, or
age-stages relative to one another in terms of the total population size.
Stage weights can be thought of as Lotka-Volterra coefficients applied to
individuals of different stages within a single population.
stage_weight(mpm, stage2 = NA, stage1 = NA, age2 = NA, value = 1)
mpm |
The lefkoMat object to be used in projection. Can be an example MPM if function-based projection is planned. |
stage2 |
A vector showing the name or number of a stage in occasion
t that should be set to a positive number of individuals in the start
vector. Abbreviations for groups of stages are also usable (see Notes).
This input is required for all stage-based and age-by-stage MPMs. Defaults to
|
stage1 |
A vector showing the name or number of a stage in occasion t-1 that should be set to a positive number of individuals in the start vector. Abbreviations for groups of stages are also usable (see Notes). This is only used for historical MPMs, since the rows of hMPMs correspond to stage-pairs in times t and t-1 together. Only required for historical MPMs, and will result in errors if otherwise used. |
age2 |
A vector showing the age of each respective stage in occasion
t that should be set to a positive number of individuals in the start
vector. Only used for Leslie and age-by-stage MPMs. Defaults to |
value |
A vector showing the values, in order, of the number of
individuals set for the stage or stage-pair in question. Defaults to
|
A list of class lefkoEq, with four objects, which can be
used as input in function projection3() and
f_projection3(). The last three include the ahstages,
hstages, and agestages objects from the lefkoMat object
supplied in mpm. The first element in the list is a data frame with
the following variables:
stage2 |
Stage at occasion t. |
stage_id_2 |
The stage number associated with |
stage1 |
Stage at occasion t-1, if historical. Otherwise NA. |
stage_id_1 |
The stage number associated with |
age2 |
The age of individuals in |
row_num |
A number indicating the respective starting vector element. |
value |
Number of individuals in corresponding stage or stage-pair. |
Users should generally consider which stage to set as the reference, which
should be designated with a value of 1.
In some life histories, certain stages may not count against population size
with regards to the kind and value of density dependence decided on. An
example might be the dormant seed stage in some plant species. These stage
weight values should be set to 0.
Entries in stage2, and stage1 can include abbreviations for
groups of stages. Use rep if all reproductive stages are to be used,
nrep if all mature but non-reproductive stages are to be used,
mat if all mature stages are to be used, immat if all immature
stages are to be used, prop if all propagule stages are to be used,
npr if all non-propagule stages are to be used, obs if all
observable stages are to be used, nobs if all unobservable stages are
to be used, and leave empty or use all if all stages in stageframe are
to be used.
library(lefko3)
data(cypdata)
sizevector <- c(0, 0, 0, 0, 0, 0, 1, 2.5, 4.5, 8, 17.5)
stagevector <- c("SD", "P1", "P2", "P3", "SL", "D", "XSm", "Sm", "Md", "Lg",
"XLg")
repvector <- c(0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1)
obsvector <- c(0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1)
matvector <- c(0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1)
immvector <- c(0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0)
propvector <- c(1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0)
indataset <- c(0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1)
binvec <- c(0, 0, 0, 0, 0, 0.5, 0.5, 1, 1, 2.5, 7)
cypframe_raw <- sf_create(sizes = sizevector, stagenames = stagevector,
repstatus = repvector, obsstatus = obsvector, matstatus = matvector,
propstatus = propvector, immstatus = immvector, indataset = indataset,
binhalfwidth = binvec)
cycaraw_v1 <- verticalize3(data = cypdata, noyears = 6, firstyear = 2004,
patchidcol = "patch", individcol = "plantid", blocksize = 4,
sizeacol = "Inf2.04", sizebcol = "Inf.04", sizeccol = "Veg.04",
repstracol = "Inf.04", repstrbcol = "Inf2.04", fecacol = "Pod.04",
stageassign = cypframe_raw, stagesize = "sizeadded", NAas0 = TRUE,
NRasRep = TRUE)
cypsupp2r <- supplemental(stage3 = c("SD", "P1", "P2", "P3", "SL", "D",
"XSm", "Sm", "SD", "P1"),
stage2 = c("SD", "SD", "P1", "P2", "P3", "SL", "SL", "SL", "rep",
"rep"),
eststage3 = c(NA, NA, NA, NA, NA, "D", "XSm", "Sm", NA, NA),
eststage2 = c(NA, NA, NA, NA, NA, "XSm", "XSm", "XSm", NA, NA),
givenrate = c(0.10, 0.20, 0.20, 0.20, 0.25, NA, NA, NA, NA, NA),
multiplier = c(NA, NA, NA, NA, NA, NA, NA, NA, 0.5, 0.5),
type =c(1, 1, 1, 1, 1, 1, 1, 1, 3, 3),
stageframe = cypframe_raw, historical = FALSE)
cycamatrix2r <- rlefko2(data = cycaraw_v1, stageframe = cypframe_raw,
year = "all", patch = "all", stages = c("stage3", "stage2", "stage1"),
size = c("size3added", "size2added"), supplement = cypsupp2r,
yearcol = "year2", patchcol = "patchid", indivcol = "individ")
cyca2_start <- start_input(cycamatrix2r, stage2 = c("SD", "P1", "P2"),
value = c(500, 100, 200))
cyp2_dv <- density_input(cycamatrix2r, stage3 = c("SD", "P1"),
stage2 = c("rep", "rep"), style = c(1, 1), alpha = c(0.5, 1.2),
beta = c(1.0, 2.0), type = c(2, 1))
cyp_eq <- stage_weight(cycamatrix2r,
stage2 = c("SD", "P1", "SL", "D", "XSm", "Sm", "Md", "Lg", "XLg"),
value = c(0, 1, 1, 1, 1, 1, 1, 1, 1))
cyca_proj <- projection3(mpm = cycamatrix2r, start_frame = cyca2_start,
density = cyp2_dv, stage_weights = cyp_eq, times = 10)
summary(cyca_proj)
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