mpm_mean.Rd
Calculates an element-wise mean over a list of matrices or CompadreMat objects of constant dimension.
mat_mean(x, na.rm = FALSE) mpm_mean(x, na.rm = FALSE)
x | List of matrices ( |
---|---|
na.rm | Logical indicating whether missing values should be excluded
(see Details). Defaults to |
A matrix (mat_mean
) or a CompadreMat object (mpm_mean
).
If na.rm == TRUE
, missing values are ignored in the calculation of the
mean matrix. If na.rm == TRUE
and a given element is NA
in
every matrix within x
, the value returned for that element will
be 0
.
# there are four rows for species 'Haplopappus_radiatus' in Compadre mpms <- Compadre$mat[Compadre$SpeciesAuthor == "Haplopappus_radiatus"] mpm_mean(mpms)#> A compadre matrix object with 4 stages. #> #> MatrixClassOrganized MatrixClassAuthor #> 1 active Seedling #> 2 active Small reproductive #> 3 active Large reproductive #> 4 active Reproductive #> #> matA: #> 1 2 3 4 #> 1 0.00000 0.0000 0.00000 1.96575 #> 2 0.19725 0.4090 0.17650 0.15400 #> 3 0.03250 0.1605 0.38175 0.37500 #> 4 0.00000 0.1175 0.26100 0.37150 #> #> matU: #> 1 2 3 4 #> 1 0.00000 0.0000 0.00000 0.0000 #> 2 0.19725 0.4090 0.17650 0.1540 #> 3 0.03250 0.1605 0.38175 0.3750 #> 4 0.00000 0.1175 0.26100 0.3715 #> #> matF: #> 1 2 3 4 #> 1 0 0 0 1.96575 #> 2 0 0 0 0.00000 #> 3 0 0 0 0.00000 #> 4 0 0 0 0.00000 #> #> matC: #> 1 2 3 4 #> 1 0 0 0 0 #> 2 0 0 0 0 #> 3 0 0 0 0 #> 4 0 0 0 0 #>#> A1 A2 A3 A4 #> [1,] 0.00000 0.0000 0.00000 1.96575 #> [2,] 0.19725 0.4090 0.17650 0.15400 #> [3,] 0.03250 0.1605 0.38175 0.37500 #> [4,] 0.00000 0.1175 0.26100 0.37150