| add_lM {lefko3} | R Documentation |
Add Matrices to lefkoMat Object
Description
Function add_lM() adds matrices to lefkoMat objects.
Usage
add_lM(
lM,
Amats = NA,
Umats = NA,
Fmats = NA,
UFdecomp = FALSE,
entrystage = 1,
pop = NA,
patch = NA,
year = NA
)
Arguments
lM |
The lefkoMat object to add matrices to. |
Amats |
Either a single |
Umats |
Either a single |
Fmats |
Either a single |
UFdecomp |
A logical value indicating whether U and F matrices should be
inferred from A matrices and the given |
entrystage |
The stage or stages produced by reproductive individuals.
Used to determine which transitions are reproductive for U-F decomposition.
Defaults to |
pop |
The population designation for each matrix. If object |
patch |
The patch designation for each matrix. If object |
year |
The designation for occasion at time t corresponding to each matrix. Cannot be left empty. |
Value
A lefkoMat object incorporating the new matrices within the
object input in lM.
Notes
This function will not allow matrices of different dimension from those input
in object lM to be added to that object.
Two of Amats, Umats, and Fmats must be provided for this
function to proceed. Also, if Amats, Umats, and Fmats
are all provided, then this function will default to replacing Amats
with the sum of the respective Umats and Fmats.
See Also
Examples
# These matrices are of 9 populations of the plant species Anthyllis
# vulneraria, and were originally published in Davison et al. (2010) Journal
# of Ecology 98:255-267 (doi: 10.1111/j.1365-2745.2009.01611.x).
sizevector <- c(1, 1, 2, 3) # These sizes are not from the original paper
stagevector <- c("Sdl", "Veg", "SmFlo", "LFlo")
repvector <- c(0, 0, 1, 1)
obsvector <- c(1, 1, 1, 1)
matvector <- c(0, 1, 1, 1)
immvector <- c(1, 0, 0, 0)
propvector <- c(0, 0, 0, 0)
indataset <- c(1, 1, 1, 1)
binvec <- c(0.5, 0.5, 0.5, 0.5)
anthframe <- sf_create(sizes = sizevector, stagenames = stagevector,
repstatus = repvector, obsstatus = obsvector, matstatus = matvector,
immstatus = immvector, indataset = indataset, binhalfwidth = binvec,
propstatus = propvector)
# POPN C 2003-2004
XC3 <- matrix(c(0, 0, 1.74, 1.74,
0.208333333, 0, 0, 0.057142857,
0.041666667, 0.076923077, 0, 0,
0.083333333, 0.076923077, 0.066666667, 0.028571429), 4, 4, byrow = TRUE)
# 2004-2005
XC4 <- matrix(c(0, 0, 0.3, 0.6,
0.32183908, 0.142857143, 0, 0,
0.16091954, 0.285714286, 0, 0,
0.252873563, 0.285714286, 0.5, 0.6), 4, 4, byrow = TRUE)
# 2005-2006
XC5 <- matrix(c(0, 0, 0.50625, 0.675,
0, 0, 0, 0.035714286,
0.1, 0.068965517, 0.0625, 0.107142857,
0.3, 0.137931034, 0, 0.071428571), 4, 4, byrow = TRUE)
# POPN E 2003-2004
XE3 <- matrix(c(0, 0, 2.44, 6.569230769,
0.196428571, 0, 0, 0,
0.125, 0.5, 0, 0,
0.160714286, 0.5, 0.133333333, 0.076923077), 4, 4, byrow = TRUE)
XE4 <- matrix(c(0, 0, 0.45, 0.646153846,
0.06557377, 0.090909091, 0.125, 0,
0.032786885, 0, 0.125, 0.076923077,
0.049180328, 0, 0.125, 0.230769231), 4, 4, byrow = TRUE)
XE5 <- matrix(c(0, 0, 2.85, 3.99,
0.083333333, 0, 0, 0,
0, 0, 0, 0,
0.416666667, 0.1, 0, 0.1), 4, 4, byrow = TRUE)
mats_list <- list(XC3, XC4, XC5, XE3, XE4, XE5)
yr_ord <- c(1, 2, 3, 1, 2, 3)
pch_ord <- c(1, 1, 1, 2, 2, 2)
anth_lefkoMat <- create_lM(mats_list, anthframe, hstages = NA,
historical = FALSE, poporder = 1, patchorder = pch_ord, yearorder = yr_ord)
XH3 <- matrix(c(0, 0, 0.1125, 1.05,
0.2, 0, 0, 0,
0, 0.5, 0, 0,
0.2, 0.5, 0, 0), 4, 4, byrow = TRUE)
XH3u <- matrix(c(0, 0, 0, 0,
0.2, 0, 0, 0,
0, 0.5, 0, 0,
0.2, 0.5, 0, 0), 4, 4, byrow = TRUE)
XH4 <- matrix(c(0, 0, 0, 0,
0, 0, 0.5, 0,
0.8, 0.5, 0.25, 0.25,
0.2, 0, 0, 0.75), 4, 4, byrow = TRUE)
XH4u <- matrix(c(0, 0, 0, 0,
0, 0, 0.5, 0,
0.8, 0.5, 0.25, 0.25,
0.2, 0, 0, 0.75), 4, 4, byrow = TRUE)
XH5 <- matrix(c(0, 0, 0.2, 1.05,
0, 0, 0, 0,
0.001, 0.001, 0.333333333, 0,
0.001, 0, 0, 0), 4, 4, byrow = TRUE)
XH5u <- matrix(c(0, 0, 0, 0,
0, 0, 0, 0,
0.001, 0.001, 0.333333333, 0,
0.001, 0, 0, 0), 4, 4, byrow = TRUE)
anth_lefkoMat <- add_lM(anth_lefkoMat, Amats = list(XH3, XH4, XH5),
Umats = list(XH3u, XH4u, XH5u), patch = c(3, 3, 3), year = c(1, 2, 3))