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# Map R classes to handsontable.js types
get_col_types = function(data) {
if (is.matrix(data)) {
types = rep(typeof(data), ncol(data))
} else if (is.data.frame(data)){
types = as.character(lapply(data, class))
} else{
stop("Unsupported object type: ", class(data), " Can't extract column types.")
}
types <- sapply(types, function(type) {
if (grepl("factor", type)) return("factor")
switch(type,
integer="integer",
double="numeric",
numeric="numeric",
character="text",
logical="checkbox",
Date="date",
"text")
})
as.character(types)
}
# Convert handsontable to R object
toR = function(data, changes, params, ...) {
rClass = params$rClass
colHeaders = unlist(params$rColHeaders)
rowHeaders = unlist(params$rRowHeaders)
rColClasses = unlist(params$rColClasses)[colHeaders]
out = data
# copy/paste may add rows without firing an afterCreateRow event (still needed?)
# if (length(out) != length(rowHeaders))
# changes$event = "afterCreateRow"
# remove spare empty rows; autofill fix (not working)
# if (!is.null(changes$source) && changes$source == "autofill") {
# rm_inds = sapply(out, function(x) all(unlist(x) == "NA"))
# rm_inds = suppressWarnings(min(which(diff(rm_inds) == -1)))
# if (rm_inds != Inf)
# out = out[-(length(out) - rm_inds + 1)]
# }
# pre-conversion updates; afterCreateCol moved to end of function
# if (changes$event == "afterCreateRow") {
# inds = seq(changes$ind + 1, length.out = changes$ct)
# # prevent duplicates
# nm = 1
# while (nm %in% rowHeaders) {
# nm = nm + 1
# }
# rowHeaders = c(head(rowHeaders, inds - 1), nm,
# tail(rowHeaders, length(rowHeaders) - inds + 1))
# } else if (changes$event == "afterRemoveRow") {
# inds = seq(changes$ind + 1, length.out = changes$ct)
# rowHeaders = rowHeaders[-inds]
if (changes$event == "afterRemoveCol") {
if (!("matrix" %in% rClass)) {
inds = seq(changes$ind + 1, 1, length.out = changes$ct)
rColClasses = rColClasses[-inds]
}
}
# convert
if ("matrix" %in% rClass) {
nr = length(out)
out = unlist(out, recursive = FALSE)
# replace NULL with NA
out = unlist(lapply(out, function(x) if (is.null(x)) NA else x))
# If there is no data create empty matrix
if (length(out) == 0) {
out = matrix(nrow = 0, ncol = length(colHeaders))
} else {
out = matrix(out, nrow = nr, byrow = TRUE)
}
class(out) = params$rColClasses
} else if ("data.frame" %in% rClass) {
nr = length(out)
out = unlist(out, recursive = FALSE)
# replace NULL with NA
out = unlist(lapply(out, function(x) if (is.null(x)) NA else x))
# If there is no data create empty matrix
if (length(out) == 0) {
out = matrix(nrow = 0, ncol = length(colHeaders))
} else {
out = matrix(out, nrow = nr, byrow = TRUE)
}
out = colClasses(as.data.frame(out, stringsAsFactors = FALSE),
rColClasses, params$columns, ...)
} else {
stop("Conversion not implemented: ", rClass)
}
# post-conversion updates
if (changes$event == "afterCreateRow") {
# default logical NA in data.frame to FALSE
if (!("matrix" %in% rClass)) {
inds_logical = which(rColClasses == "logical")
for (i in inds_logical)
out[[i]] = ifelse(is.na(out[[i]]), FALSE, out[[i]])
}
}
if (ncol(out) != length(colHeaders))
colHeaders = genColHeaders(changes, colHeaders)
if (nrow(out) != length(rowHeaders) && !is.null(rowHeaders))
rowHeaders = genRowHeaders(changes, rowHeaders)
colnames(out) = colHeaders
rownames(out) = rowHeaders
if ("data.table" %in% rClass)
out = as(out, "data.table")
out
}
# Coerces data.frame columns to the specified classes
# see http://stackoverflow.com/questions/9214819/supply-a-vector-to-classes-of-dataframe
colClasses <- function(d, colClasses, cols, date_fmt = "%m/%d/%Y", ...) {
colClasses <- rep(colClasses, len=length(d))
for(i in seq_along(d))
d[[i]] = switch(
colClasses[i],
Date = as.Date(d[[i]], origin='1970-01-01',
format = date_fmt),
POSIXct = as.POSIXct(d[[i]], origin='1970-01-01',
format = date_fmt),
factor = factor(d[[i]],
levels = c(unlist(cols[[i]]$source),
unique(d[[i]][!(d[[i]] %in% unlist(cols[[i]]$source))])),
ordered = TRUE),
json = jsonlite::toJSON(d[[i]]),
suppressWarnings(as(d[[i]], colClasses[i])))
d
}
genColHeaders <- function(changes, colHeaders) {
ind_ct = length(which(grepl("V[0-9]{1,}", colHeaders)))
if (changes$event == "afterRemoveCol") {
colHeaders[-(seq(changes$ind, length = changes$ct) + 1)]
} else if (changes$event == "afterCreateCol") {
# create new column names
new_cols = paste0("V", changes$ct + ind_ct)
# insert into vector
inds = seq(changes$ind + 1, 1, length.out = changes$ct)
c(colHeaders, new_cols)[order(c(seq_along(colHeaders), inds - 0.5))]
} else {
stop("Change no recognized:", changes$event)
}
}
genRowHeaders <- function(changes, rowHeaders) {
inds = seq(changes$ind + 1, length.out = changes$ct)
if (changes$event == "afterCreateRow") {
# prevent duplicates
nm = 1
while (nm %in% rowHeaders) {
nm = nm + 1
}
c(head(rowHeaders, inds - 1), nm,
tail(rowHeaders, length(rowHeaders) - inds + 1))
} else if (changes$event == "afterRemoveRow") {
rowHeaders[-inds]
}
}
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