Description Fields Methods See Also Examples
A class for storing data in multiple interrelated tables. Each table relates to the other tables through keys.
This is the full array. For extensibility, it cannot be written to directly and must be modified through methods.
A list of metadata associated with the cells of the data.
The names of columns in the data.
A list of metadata associated with the columns of the data.
The data associated with each dimension of the array.
The size of the array.
The size of the array.
The data frame this class is responsible for.
A list containing the primary keys for each table
This is the matrix. For extensibility, it cannot be written to directly and must be modified through methods.
Any data not part of the main data structure.
The number of columns in the data.
The number of dimensions of the array.
The number of rows in the data
The names of rows in the data.
A list of metadata associated with the rows of the data.
A list of tables of data
A function for debugging the methods of this class. It calls the browser command. In order for methods to opt into to debugging, they need to implement the following code at the beginning: if(<method_name> %in% private$.debug){browser()}. This method exists, because the debugger is not always intuitive when it comes to debugging R6 methods.
string | - | The name(s) of methods to debug as a character vector |
This function should be extended. Create a new instance of this class.
... | - | This function should take in any arguments just in case. |
A function for ceasing to debug methods. Normally a method will call the browser command every time it is run. This command will stop it from doing so.
string | - | The name(s) of the methods to stop debugging. |
Inherits from : RelationalData
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 | library(dplyr)
library(reshape2)
SampleRelationalTables <- R6Class(
inherit = AbstractRelationalTables,
public = list(
initialize = function(...){
private$.tables = list(...)
if(!all(sapply(private$.tables,function(x){is.data.frame(x)}))){
stop("All arguments must be data frames")
}
},
updateFrame = function(){
private$.frame = Reduce(x = private$.tables,f = left_join)
},
updateArray = function(){
val <- names(self$frame)[1]
dims <- names(self$frame[2:ncol(self$frame)])
private$.arr <- self$frame %>%
group_by_(.dots=setNames(dims,NULL)) %>%
summarize_all(sum) %>%
ungroup() %>%
acast(as.formula(paste(dims,collapse='~')),value.var=val)
mode(private$.arr) = 'numeric'
private$.dims = dim(private$.arr)
private$.nrow = private$.dims[1]
private$.ncol = private$.dims[2]
private$.ndim = length(private$.dims)
private$.dnames = dimnames(private$.arr)
}
),
active = list(
mat = function(value){
if(self$ndim <= 2){
return(self$arr)
}
return(extract(private$.arr,indices = rep(self$ndim-2,x=1),dims = 3:self$ndim,drop=TRUE))
}
)
)
|
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