api-parray | R Documentation |

General representation of multidimensional arrays (with named dimnames, also called named arrays.)

parray(varNames, levels, values = 1, normalize = "none", smooth = 0) as.parray(values, normalize = "none", smooth = 0) data2parray(data, varNames = NULL, normalize = "none", smooth = 0) makeDimNames(varNames, levels, sep = "")

`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 array |

`normalize` |
Either "none", "first" or "all". Should result be normalized, see 'Details' below. |

`smooth` |
Should values be smoothed, see 'Details' below. |

`data` |
Data to be coerced to a |

`sep` |
Desired separator in dim names; defaults to "". |

A named array 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.

A a named array.

Søren Højsgaard, sorenh@math.aau.dk

`is.named.array`

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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