# repvalue3.matrix: Estimate Reproductive Value Vector for a Single Population... In lefko3: Historical and Ahistorical Population Projection Matrix Analysis

 repvalue3.matrix R Documentation

## Estimate Reproductive Value Vector for a Single Population Projection Matrix

### Description

`repvalue3.matrix()` returns the reproductive values for stages in a population projection matrix. The function makes no assumptions about whether the matrix is ahistorical and simply provides standard reproductive values corresponding to each row, meaning that the overall reproductive values of basic life history stages in a historical matrix are not provided (the `repvalue3.lefkoMat()` function estimates these on the basis of stage description information provided in the `lefkoMat` object used as input in that function). This function can handle large and sparse matrices, and so can be used with large historical matrices, IPMs, age x stage matrices, as well as smaller ahistorical matrices.

### Usage

``````## S3 method for class 'matrix'
repvalue3(mats, force_sparse = "auto", ...)
``````

### Arguments

 `mats` A population projection matrix. `force_sparse` A text string indicating whether to use sparse matrix encoding (`"yes"`) when supplied with standard matrices. Defaults to `"auto"`, in which case sparse matrix encoding is used with square matrices with at least 50 rows and no more than 50% of elements with values greater than zero. `...` Other parameters.

### Value

This function returns a vector data frame characterizing the reproductive values for stages of a population projection matrix. This is given as the left eigenvector associated with largest real part of the dominant eigenvalue, divided by the first non-zero element of the left eigenvector.

### Notes

Speed can sometimes be increased by shifting from automatic sparse matrix determination to forced dense or sparse matrix projection. This will most likely occur when matrices have between 30 and 300 rows and columns. Defaults work best when matrices are very small and dense, or very large and sparse.

`repvalue3()`

`repvalue3.lefkoMat()`

`repvalue3.dgCMatrix()`

`repvalue3.list()`

### Examples

``````data(lathyrus)

sizevector <- c(0, 100, 13, 127, 3730, 3800, 0)
stagevector <- c("Sd", "Sdl", "VSm", "Sm", "VLa", "Flo", "Dorm")
repvector <- c(0, 0, 0, 0, 0, 1, 0)
obsvector <- c(0, 1, 1, 1, 1, 1, 0)
matvector <- c(0, 0, 1, 1, 1, 1, 1)
immvector <- c(1, 1, 0, 0, 0, 0, 0)
propvector <- c(1, 0, 0, 0, 0, 0, 0)
indataset <- c(0, 1, 1, 1, 1, 1, 1)
binvec <- c(0, 100, 11, 103, 3500, 3800, 0.5)

lathframe <- sf_create(sizes = sizevector, stagenames = stagevector,
repstatus = repvector, obsstatus = obsvector, matstatus = matvector,
immstatus = immvector, indataset = indataset, binhalfwidth = binvec,
propstatus = propvector)

lathvert <- verticalize3(lathyrus, noyears = 4, firstyear = 1988,
patchidcol = "SUBPLOT", individcol = "GENET", blocksize = 9,
juvcol = "Seedling1988", sizeacol = "Volume88", repstracol = "FCODE88",
nonobsacol = "Dormant1988", stageassign = lathframe, stagesize = "sizea",
censorcol = "Missing1988", censorkeep = NA, censor = TRUE)

lathsupp3 <- supplemental(stage3 = c("Sd", "Sd", "Sdl", "Sdl", "Sd", "Sdl", "mat"),
stage2 = c("Sd", "Sd", "Sd", "Sd", "rep", "rep", "Sdl"),
stage1 = c("Sd", "rep", "Sd", "rep", "npr", "npr", "Sd"),
eststage3 = c(NA, NA, NA, NA, NA, NA, "mat"),
eststage2 = c(NA, NA, NA, NA, NA, NA, "Sdl"),
eststage1 = c(NA, NA, NA, NA, NA, NA, "NotAlive"),
givenrate = c(0.345, 0.345, 0.054, 0.054, NA, NA, NA),
multiplier = c(NA, NA, NA, NA, 0.345, 0.054, NA),
type = c(1, 1, 1, 1, 3, 3, 1), type_t12 = c(1, 2, 1, 2, 1, 1, 1),
stageframe = lathframe, historical = TRUE)

ehrlen3 <- rlefko3(data = lathvert, stageframe = lathframe, year = "all",
stages = c("stage3", "stage2", "stage1"), supplement = lathsupp3,
yearcol = "year2", indivcol = "individ")

ehrlen3mean <- lmean(ehrlen3)
repvalue3(ehrlen3mean\$A[])

``````

lefko3 documentation built on May 3, 2023, 9:12 a.m.