movG-class | R Documentation |
The "movG" Class Represents Objects From A Moving Grid Adjustment Using A Designed Grid
1.1
Objects can be created by calls of the form new("movG", ...)
or
by a call to function movingGrid
.
movingMeanMap
:Object of class "matrix"
for the
moving mean of the cell in the ith row and jth column.
row
:Object of class "integer"
for the row subscripts.
col
:Object of class "integer"
for the column subscripts.
observedPhe
:Object of class "numeric"
for the
observed phenotypic values.
adjustedPhe
:Object of class "numeric"
for the
adjusted phenotypic values.
movingMean
:Object of class "numeric"
for the
moving means.
nValues
:Object of class "integer"
for the
number of non-NA values used for calculating the moving mean.
adjModel
:Object of class "lm"
for the
model used for covariate adjustment.
correlation
:Object of class "numeric"
for the
coefficient of correlation between the moving means and the
observed phenotypic values.
maxValues
:Object of class "integer"
for the
maximum number of values possible given the design of the grid or
the number of nearest neighbors.
FunCall
:Object of class "call"
for the
function call.
signature(object = "movG")
: extract all
relevant information on each entry from the object
signature(object = "movG")
: extract only
the moving means from the object
signature(object = "movG")
: extract only the
adjusted phenotypical values
signature(object = "movG")
: extract the
residuals from the model for calculation of the regression coefficient
signature(object = "movG")
: show some
summary statistics and informations
signature(object = "movG")
: same as show, but
with a list of the summarized values invisibly returned
The data in the slots observedPhe
, adjustedPhe
,
movingMean
, and nValues
must correspond.
Frank Technow
movingGrid
showClass("movG")
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