Returns a table based on the information of a biv_compare_object which can be outputted as HTML or LaTex Table, for example with the help of the stargazer function.

Returns a table based on the information of a biv_compare_object which can be outputted as HTML or LaTex Table, for example with the help of the stargazer function.

Usage

biv_compare_table(
  biv_compare_object,
  type = "diff",
  comparison_number = 1,
  ndigits = 2
)

Arguments

biv_compare_object

A object returned by the biv_compare function.

type

A character string, to choose what matrix should be printed.

If "dfs", a correlation matrix of all variables of comparison in the chosen dataframe will be returned.
If "benchmarks", a correlation matrix of all variables of comparison in the chosen benchmark will be returned.
if "diff", a matrix indicating the difference between the chosen dataframe and benchmark will be returned.

comparison_number

A number indicating the data of which data frame, benchmark or comparison should be displayed. The maximum length is equal to the length of the dfs vector that is used to generate the biv_compare_object.

ndigits

Number of digits shown in the table.

Value

A correlation matrix, or difference matrix based on information of a biv_compare_object.

Examples


## Get Data for comparison
require(wooldridge)
card<-wooldridge::card

south <- card[card$south==1,]
north <- card[card$south==0,]
black <- card[card$black==1,]
white <- card[card$black==0,]

## use the function to plot the data 
bivar_data<-sampcompR::biv_compare(dfs = c("north","white"),
                                   benchmarks = c("south","black"),
                                   variables= c("age","educ","fatheduc","motheduc","wage","IQ"),
                                   data=TRUE)
#> Error in get(dfs[i]): object 'north' not found
                        
table<-sampcompR::biv_compare_table(bivar_data, type="diff", comparison_number=1)
#> Error in eval(expr, envir, enclos): object 'bivar_data' not found
noquote(table)
#> function (..., exclude = if (useNA == "no") c(NA, NaN), useNA = c("no", 
#>     "ifany", "always"), dnn = list.names(...), deparse.level = 1) 
#> {
#>     list.names <- function(...) {
#>         l <- as.list(substitute(list(...)))[-1L]
#>         if (length(l) == 1L && is.list(..1) && !is.null(nm <- names(..1))) 
#>             return(nm)
#>         nm <- names(l)
#>         fixup <- if (is.null(nm)) 
#>             seq_along(l)
#>         else nm == ""
#>         dep <- vapply(l[fixup], function(x) switch(deparse.level + 
#>             1, "", if (is.symbol(x)) as.character(x) else "", 
#>             deparse(x, nlines = 1)[1L]), "")
#>         if (is.null(nm)) 
#>             dep
#>         else {
#>             nm[fixup] <- dep
#>             nm
#>         }
#>     }
#>     miss.use <- missing(useNA)
#>     miss.exc <- missing(exclude)
#>     useNA <- if (miss.use && !miss.exc && !match(NA, exclude, 
#>         nomatch = 0L)) 
#>         "ifany"
#>     else match.arg(useNA)
#>     doNA <- useNA != "no"
#>     if (!miss.use && !miss.exc && doNA && match(NA, exclude, 
#>         nomatch = 0L)) 
#>         warning("'exclude' containing NA and 'useNA' != \"no\"' are a bit contradicting")
#>     args <- list(...)
#>     if (length(args) == 1L && is.list(args[[1L]])) {
#>         args <- args[[1L]]
#>         if (length(dnn) != length(args)) 
#>             dnn <- paste(dnn[1L], seq_along(args), sep = ".")
#>     }
#>     if (!length(args)) 
#>         stop("nothing to tabulate")
#>     bin <- 0L
#>     lens <- NULL
#>     dims <- integer()
#>     pd <- 1L
#>     dn <- NULL
#>     for (a in args) {
#>         if (is.null(lens)) 
#>             lens <- length(a)
#>         else if (length(a) != lens) 
#>             stop("all arguments must have the same length")
#>         fact.a <- is.factor(a)
#>         if (doNA) 
#>             aNA <- anyNA(a)
#>         if (!fact.a) {
#>             a0 <- a
#>             op <- options(warn = 2)
#>             on.exit(options(op))
#>             a <- factor(a, exclude = exclude)
#>             options(op)
#>         }
#>         add.na <- doNA
#>         if (add.na) {
#>             ifany <- (useNA == "ifany")
#>             anNAc <- anyNA(a)
#>             add.na <- if (!ifany || anNAc) {
#>                 ll <- levels(a)
#>                 if (add.ll <- !anyNA(ll)) {
#>                   ll <- c(ll, NA)
#>                   TRUE
#>                 }
#>                 else if (!ifany && !anNAc) 
#>                   FALSE
#>                 else TRUE
#>             }
#>             else FALSE
#>         }
#>         if (add.na) 
#>             a <- factor(a, levels = ll, exclude = NULL)
#>         else ll <- levels(a)
#>         a <- as.integer(a)
#>         if (fact.a && !miss.exc) {
#>             ll <- ll[keep <- which(match(ll, exclude, nomatch = 0L) == 
#>                 0L)]
#>             a <- match(a, keep)
#>         }
#>         else if (!fact.a && add.na) {
#>             if (ifany && !aNA && add.ll) {
#>                 ll <- ll[!is.na(ll)]
#>                 is.na(a) <- match(a0, c(exclude, NA), nomatch = 0L) > 
#>                   0L
#>             }
#>             else {
#>                 is.na(a) <- match(a0, exclude, nomatch = 0L) > 
#>                   0L
#>             }
#>         }
#>         nl <- length(ll)
#>         dims <- c(dims, nl)
#>         if (prod(dims) > .Machine$integer.max) 
#>             stop("attempt to make a table with >= 2^31 elements")
#>         dn <- c(dn, list(ll))
#>         bin <- bin + pd * (a - 1L)
#>         pd <- pd * nl
#>     }
#>     names(dn) <- dnn
#>     bin <- bin[!is.na(bin)]
#>     if (length(bin)) 
#>         bin <- bin + 1L
#>     y <- array(tabulate(bin, pd), dims, dimnames = dn)
#>     class(y) <- "table"
#>     y
#> }
#> <bytecode: 0x556a825ff3f0>
#> <environment: namespace:base>