Description Usage Arguments Details Value Author(s) See Also Examples
General representation of multidimensional
tables (by parray
objects).
1 2 3 |
varNames |
Names of variables defining table; can be a right hand sided formula. |
levels |
Either 1) a vector with number of levels of the factors in varNames or 2) a list with specification of the levels of the factors in varNames. See 'examples' below. |
values |
Values to go into the parray |
normalize |
Either "none", "first" or "all". Should result be normalized, see 'Details' below. |
smooth |
Should values be smoothed, see 'Details' below. |
data |
A dataframe, a table, an xtabs (a cross classified contingency table) a matrix (with dimnames) or a vector (with dimnames). |
A parray
object represents a table defined by a set of variables and
their levels, together with the values of the table. E.g. f(a,b,c) can
be a table with a,b,c representing levels of binary variable
If normalize="first"
then for each configuration of all other
variables than the first, the probabilities are normalized to sum to one. Thus f(a,b,c)
becomes a conditional probability table of the form p(a|b,c). If
normalize="all"
then the sum over all entries of f(a,b,c) is
one.
If smooth
is positive then smooth
is added to
values
before normalization takes place.
as.parray
can be used for coercing an array or an xtabs to a parray
object.
An object of class parray
.
S<f8>ren H<f8>jsgaard, sorenh@math.aau.dk
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 | t1 <- parray(c("gender","answer"), list(c('male','female'),c('yes','no')), values=1:4)
t1 <- parray(~gender:answer, list(c('male','female'),c('yes','no')), values=1:4)
t1 <- parray(~gender:answer, c(2,2), values=1:4)
t2 <- parray(c("answer","category"), list(c('yes','no'),c(1,2)), values=1:4+10)
t3 <- parray(c("category","foo"), c(2,2), values=1:4+100)
varNames(t1)
nLevels(t1)
valueLabels(t1)
## Create 1-dimensional vector with dim and dimnames
x1 <- 1:5
as.parray(x1)
x2 <- parray("x", levels=length(x1), values=x1)
dim(x2)
dimnames(x2)
## Matrix
x1 <- matrix(1:6, nrow=2)
as.parray(x1)
parray(~a:b, levels=dim(x1), values=x1)
## Extract parrays from data
## 1) a dataframe
data(cad1)
data2parray(cad1, ~Sex:AngPec:AMI)
data2parray(cad1, c("Sex","AngPec","AMI"))
data2parray(cad1, c(1,2,3))
## 2) a table
data2parray(UCBAdmissions,c(1,2), normalize="first")
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