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#===== Source file: ../calc_rcsize.r on 2021-06-02
#-----
calc_rcsize <- function(entryInfo, vrule_hsize, hrule_vsize, sizeAdjust,
nominal_rcmin, method)
{
# Nomenclature:
# 'size' refers to a dimension in the table's frame of reference: 'h'
# prefix meaning horizontal, 'v' prefix meaning vertical.
# 'width' (or 'wd'), 'height' (or 'ht') refer to a dimension in the
# frame of reference of a piece of text: 'width' being in the direction
# of reading English text, 'height' being perpendicular to that direction.
# 'x' prefix means a dimension includes the effect of padding and
# 'sizeAdjust' in the appropriate direction.
WRK_MAXITER <- internalOpt[["rcsize_maxiter"]]
WRK_VERBOSE <- internalOpt[["rcsize_verbose"]]
include_descenders <- internalOpt[["rcsize_include_descenders"]]
enabled <- entryInfo[, "enabled"]
stopifnot(all(enabled)) # want sizes for disabled entries to be NA, but
# that hasn't been implemented
nentries <- nrow(entryInfo)
arow1 <- entryInfo[, "arow1"]
arow2 <- entryInfo[, "arow2"]
acol1 <- entryInfo[, "acol1"]
acol2 <- entryInfo[, "acol2"]
# Omit hvrule sizes at top and left edges of the table, since they are never
# spanned.
hrule_vsize <- hrule_vsize[-1]
nr_tbl <- length(hrule_vsize)
vrule_hsize <- vrule_hsize[-1]
nc_tbl <- length(vrule_hsize)
# Text dimensions in the table's reference frame, after rotation but without
# wrapping or padding or sizeAdjust; i.e., natural size.
sz <- entrySize_mm(entryInfo, allowWrap=FALSE)
hsize0 <- sz$hsize
vsize0 <- sz$vsize
horiz <- sz$horiz
wrap <- sz$wrap
if (!include_descenders) {
hsize0 <- hsize0 - ifelse(horiz, 0, sz$descender)
vsize0 <- vsize0 - ifelse(horiz, sz$descender, 0)
}
hpad <- entryInfo[, "hpad"]
vpad <- entryInfo[, "vpad"]
# Entry sizes after 'sizeAdjust' and adding padding ("extended size"). Set
# to 0 for disabled entries.
xhsize <- ifelse(enabled, hsize0*sizeAdjust[1] + 2*hpad, 0)
xvsize <- ifelse(enabled, vsize0*sizeAdjust[2] + 2*vpad, 0)
# Dimensions in the text's reference frame. These will be flipped relative
# to the table's if rotation is 90 or 270 degrees.
xwidth <- ifelse(horiz, xhsize, xvsize)
width0 <- ifelse(horiz, hsize0, vsize0)
wdpad <- ifelse(horiz, hpad, vpad)
wdAdj <- ifelse(horiz, sizeAdjust[1], sizeAdjust[2])
minwidth <- entryInfo[, "minwidth"]
maxwidth <- entryInfo[, "maxwidth"] # may be NA (not equivalent to Inf)
# Negative min/max width = multiple of natural width. Convert to absolute
# width.
minwidth <- ifelse(minwidth < 0, abs(minwidth)*width0*wdAdj + 2*wdpad, minwidth)
maxwidth <- ifelse(maxwidth < 0, abs(maxwidth)*width0*wdAdj + 2*wdpad, maxwidth)
# minwidth should always allow for padding.
minwidth <- pmax(minwidth, 2*wdpad, na.rm=TRUE) # never NA
# minwidth and maxwidth should be unconstrained for disabled entries.
minwidth[!enabled] <- 0
maxwidth[!enabled] <- Inf
if (any(chk <- (!is.na(maxwidth) & maxwidth < 2*wdpad))) stop(
"'maxwidth' is less than padding width for entries: ",
toString(row.names(entryInfo)[chk], width=60))
if (any(chk <- (!is.na(maxwidth) & maxwidth < minwidth))) stop(
"'minwidth' is greater than 'maxwidth' for entries: ",
toString(row.names(entryInfo)[chk], width=60))
# Alternate versions of 'min', 'max' functions that return NA if their
# argument is empty or all NA.
min2 <- function(z) { if (all(is.na(z))) NA else min(z, na.rm=TRUE) }
max2 <- function(z) { if (all(is.na(z))) NA else max(z, na.rm=TRUE) }
#-----
# Identify sets of entries that span the same columns, and sets that span
# the same rows.
acol12 <- paste(acol1, acol2, sep=" ")
esetsCol <- split(seq_len(nentries), factor(acol12), drop=TRUE)
arow12 <- paste(arow1, arow2, sep=" ")
esetsRow <- split(seq_len(nentries), factor(arow12), drop=TRUE)
nsetsCol <- length(esetsCol)
nsetsRow <- length(esetsRow)
# List with the columns and vrule sizes spanned by each set.
spannedCol <- vector("list", nsetsCol)
spannedVrule_size <- numeric(nsetsCol)
for (i in seq_len(nsetsCol)) {
idx <- esetsCol[[i]][1] # index into one representative row of 'entryInfo'
spanned <- (acol1[idx]):(acol2[idx])
spannedCol[[i]] <- spanned
spannedVrule_size[i] <- sum(vrule_hsize[head(spanned, -1)])
}
# List with the rows and hrule sizes spanned by each set.
spannedRow <- vector("list", nsetsRow)
spannedHrule_size <- numeric(nsetsRow)
for (i in seq_len(nsetsRow)) {
idx <- esetsRow[[i]][1] # index into one representative row of 'entryInfo'
spanned <- (arow1[idx]):(arow2[idx])
spannedRow[[i]] <- spanned
spannedHrule_size[i] <- sum(hrule_vsize[head(spanned, -1)])
}
#-----
rcsize_simple <- function(nrc, arc1, arc2, xsize, esets, spanned_rc, rulesize)
# Function to calculate sizes of individual rows or columns based on the
# sizes of the table entries that are contained within them, or span them.
# A simple heuristic is used to expand individual column or row sizes if
# needed to accomodate entries that span multiple colums or rows. (Do
# not expand hvrule sizes.)
# nrc : Number of rows or columns in the table.
# arc* : 'arow*' or 'acol*', vectors for entries.
# xsize : Vector of sizes (in the appropriate direction) of each
# table entry, including padding and 'sizeAdjust'. Entries with a
# value of NA are ignored in the calculations.
# esets : List with one component per set of entries that span a given
# set of rows or columns. Each component is a vector of indices into
# entries in 'xsize'.
# spanned_rc : List like 'esets', but with each component a vector with
# the row or column numbers spanned by the set of entries.
# rulesize : Vector like 'esets', with each element the sum of the
# sizes of hrules (if we're dealing with rows) or vrules (if we're
# dealing with columns) spanned by a set of entries.
# The returned value is a vector of length 'nrc', containing row or column
# sizes large enough to accomodate all contained and spanning entries.
{
rcsize <- rep_len(0, nrc)
nspanned <- lengths(spanned_rc)
ord <- order(nspanned)
for (i in ord) { # start with single row/col entries, move on to multi
eidx <- esets[[i]]
rcidx <- spanned_rc[[i]]
esize <- max2(xsize[eidx]) # size needed for this entry set; may be NA
spanned_rcsize <- sum(rcsize[rcidx]) # size currently allocated
spanned_rulesize <- rulesize[i]
if (is.na(esize) || esize <= spanned_rcsize + spanned_rulesize) next
if (spanned_rcsize > 0) {
# Expand spanned rows/columns proportionately.
expfac <- max(1, (esize - spanned_rulesize) / spanned_rcsize)
rcsize[rcidx] <- expfac * rcsize[rcidx]
} else {
# Expand (empty) spanned rows/columns by the same absolute amount.
rcsize[rcidx] <- max(0, (esize - spanned_rulesize) / length(rcidx))
}
}
rcsize
}
#-----
calc_xsize <- function(hsizeCol, vsizeRow)
# Function to calculate the effective size of each entry implied by the
# sizes of the columns or rows it spans. This includes padding and
# sizeAdjust ('extended size'), as well as any spanned hvrules.
{
# Defined by lexical scoping: nentries, esetsCol, spannedCol, esetsRow,
# spannedRow, spannedVrule_size, spannedHrule_size
h_implied <- rep(NA_real_, nentries)
for (i in seq_along(esetsCol)) {
spanned <- spannedCol[[i]]
h_implied[esetsCol[[i]]] <- sum(hsizeCol[spanned]) + spannedVrule_size[i]
}
v_implied <- rep(NA_real_, nentries)
for (i in seq_along(esetsRow)) {
spanned <- spannedRow[[i]]
v_implied[esetsRow[[i]]] <- sum(vsizeRow[spanned]) + spannedHrule_size[i]
}
list(xhsize=h_implied, xvsize=v_implied)
}
#-----
if (method == 0) {
# Row and column sizes, without constraints, based on natural sizes of
# entries and no wrapping.
hsizeCol <- rcsize_simple(nc_tbl, arc1=acol1, arc2=acol2, xsize=xhsize,
rulesize=spannedVrule_size, esets=esetsCol,
spanned_rc=spannedCol)
vsizeRow <- rcsize_simple(nr_tbl, arc1=arow1, arc2=arow2, xsize=xvsize,
rulesize=spannedHrule_size, esets=esetsRow,
spanned_rc=spannedRow)
} else if (method == 1) {
# Use 'minwidth' constraints but not 'maxwidth' (no wrapping).
minhsize <- ifelse(horiz, pmax(xhsize, minwidth), xhsize)
minvsize <- ifelse(horiz, xvsize, pmax(xvsize, minwidth))
hsizeCol <- rcsize_simple(nc_tbl, arc1=acol1, arc2=acol2, xsize=minhsize,
rulesize=spannedVrule_size, esets=esetsCol,
spanned_rc=spannedCol)
vsizeRow <- rcsize_simple(nr_tbl, arc1=arow1, arc2=arow2, xsize=minvsize,
rulesize=spannedHrule_size, esets=esetsRow,
spanned_rc=spannedRow)
} else {
# Methods 2-5: (a) 'maxwidth' constraints are respected; (b) final
# column or row sizes are calculated from a formal constrained
# optimization problem.
stopifnot(requireNamespace("quadprog", quietly=TRUE))
# Calculate row and column sizes by minimizing a quadratic measure of
# the difference from their initialized sizes, subject to the minwidth and
# maxwidth constraints on entry widths. Methods 2-5 differ only in
# the specific difference measure that is used.
nparm <- nc_tbl + nr_tbl
idx_vert <- which(!horiz)
idx_horiz <- which(horiz)
maxwidth_orig <- entryInfo[, "maxwidth"] # to be restored at end
hsize <- hsize0 # initialize
vsize <- vsize0
wrap_width <- xwidth # initialize: natural width
new_wrap_width <- pmin(maxwidth, xwidth, na.rm=TRUE) # never NA
# Constraint matrix for the QP. 'nparm' rows. Each column defines a
# sum of certain column widths or row heights, namely, those columns or
# rows spanned by a particular set of entries. (This maps the 'minwidth'/
# 'maxwidth' constraints on entries to constraints on the columns or rows
# containing them.)
nsets <- nsetsCol + nsetsRow
Amat <- matrix(0, nrow=nparm, ncol=nsets)
for (i in seq_len(nsetsCol)) {
rcidx <- spannedCol[[i]]
Amat[rcidx, i] <- 1 # defines a sum of column widths
}
for (i in seq_len(nsetsRow)) {
rcidx <- spannedRow[[i]]
Amat[nc_tbl + rcidx, nsetsCol + i] <- 1 # defines a sum of row heights
}
spanned_rulesize <- c(spannedVrule_size, spannedHrule_size)
for (niter in seq_len(WRK_MAXITER+1)) {
# It is possible that wrapping entries in one direction will trigger
# or avoid constraints in the other, so may need to cycle a few times.
# Recalculate entry sizes for those that need to be wrapped, or whose
# wrap width has changed.
recalc <- (enabled & abs(new_wrap_width - wrap_width) > 0.01)
if (WRK_VERBOSE > 0) {
cat("Method =", method, ", niter =", niter, ", # recalc entries =",
sum(recalc), "\n")
}
if (sum(recalc) > 0) {
if (niter > WRK_MAXITER) stop(
"Method = ", method, ", niter = ", niter, ": limit reached but ",
sum(recalc), " entry sizes are still changing")
wrap_width <- new_wrap_width
entryInfo[recalc, "maxwidth"] <- wrap_width[recalc]
sz[recalc, ] <- entrySize_mm(entryInfo[recalc, , drop=FALSE],
allowWrap=TRUE, sizeAdjust=sizeAdjust)
hsize[recalc] <- sz$hsize[recalc]
vsize[recalc] <- sz$vsize[recalc]
wrap[recalc] <- sz$wrap[recalc]
if (!include_descenders) {
hsize[recalc] <- hsize[recalc] - ifelse(horiz[recalc], 0,
sz$descender[recalc])
vsize[recalc] <- vsize[recalc] - ifelse(horiz[recalc],
sz$descender[recalc], 0)
}
# Entry sizes after 'sizeAdjust' and adding padding ("extended size").
# Set to 0 for disabled entries.
xhsize <- ifelse(enabled, hsize*sizeAdjust[1] + 2*hpad, 0)
xvsize <- ifelse(enabled, vsize*sizeAdjust[2] + 2*vpad, 0)
xwidth <- ifelse(horiz, xhsize, xvsize)
} else {
if (niter > 1) break # have to go through the for-loop at least once
}
# Define the objective function to be minimized: squared deviations
# from a natural/preferred hsize for each column, vsize for each row.
#-- Preferred size is from method 0 applied to the (possibly updated)
# entry sizes.
# 'xsize' should be NA for entries with NA maxwidth, so that they
# are not counted in determining column widths or row heights (depending
# on their orientation).
wrk_xhsize <- ifelse(horiz & is.na(maxwidth), NA, xhsize)
hsizeCol2 <- rcsize_simple(nc_tbl, arc1=acol1, arc2=acol2,
xsize=wrk_xhsize,
esets=esetsCol, spanned_rc=spannedCol,
rulesize=spannedVrule_size)
wrk_xvsize <- ifelse(!horiz & is.na(maxwidth), NA, xvsize)
vsizeRow2 <- rcsize_simple(nr_tbl, arc1=arow1, arc2=arow2,
xsize=wrk_xvsize,
esets=esetsRow, spanned_rc=spannedRow,
rulesize=spannedHrule_size)
size0 <- c(hsizeCol2, vsizeRow2)
if (any(chk <- is.na(size0))) stop(
"Too many entries have NA for 'maxwidth'; unable to determine ",
"widths for columns: ", toString(which(chk[1:nc_tbl])),
"; heights for rows: ", toString(which(chk[nc_tbl + (1:nr_tbl)])))
#-- The quadratic objective function to be minimized.
denom <- { if (method %in% c(2, 3)) pmax(size0, nominal_rcmin)
else if (method %in% c(4, 5)) size0 + nominal_rcmin }
Dmat_factorized <- diag(denom, nrow=nparm)
# so Dmat = diag((1 / denom)^2, nrow=nparm)
dvec <- { if (method %in% c(2, 4)) size0/(denom^2)
else if (method %in% c(3, 5)) 1/denom }
# Constraints on hsize for each column, vsize for each row.
#-- Min and max horizontal and vertical sizes for each entry. For
# horizontal entries: horizontal size limits are taken from minwidth,
# maxwidth; vertical size has a lower bound of 'xvsize', no upper
# bound. Vice versa for vertical entries.
minhsize <- ifelse(horiz, minwidth, xhsize)
maxhsize <- ifelse(horiz, maxwidth, Inf) # may be NA
minvsize <- ifelse(!horiz, minwidth, xvsize)
maxvsize <- ifelse(!horiz, maxwidth, Inf) # may be NA
#-- Convert min, max constraints on horizontal size of entries to
# constraints on sums of horizontal sizes of each set of columns.
bvecCol_min <- rep(0, nsetsCol)
bvecCol_max <- rep(NA_real_, nsetsCol)
for (i in seq_len(nsetsCol)) {
ttl_rulesize <- spanned_rulesize[i]
eidx <- esetsCol[[i]]
# Lower and upper constraints on the sum:
bvecCol_min[i] <- max(0, max2(minhsize[eidx]) - ttl_rulesize) # never NA
bvecCol_max[i] <- max(0, min2(maxhsize[eidx]) - ttl_rulesize, na.rm=FALSE) # may be NA
}
#-- Same for constraints on vertical size of each set of rows.
bvecRow_min <- rep(0, nsetsRow)
bvecRow_max <- rep(NA_real_, nsetsRow)
for (i in seq_len(nsetsRow)) {
ttl_rulesize <- spanned_rulesize[nsetsCol + i]
eidx <- esetsRow[[i]]
# Lower and upper constraints on the sum:
bvecRow_min[i] <- max(0, max2(minvsize[eidx]) - ttl_rulesize) # never NA
bvecRow_max[i] <- max(0, min2(maxvsize[eidx]) - ttl_rulesize, na.rm=FALSE) # may be NA
}
# Combine constraints for column and row sizes.
btemp_min <- c(bvecCol_min, bvecRow_min)
btemp_max <- c(bvecCol_max, bvecRow_max)
#-- Duplicate the constraints, with first 'nsets' columns representing
# 'minsize' constraints; second 'nsets' columns representing 'maxsize'
# constraints.
Amat_wrk <- cbind(Amat, -1*Amat)
bvec <- c(btemp_min, -1*btemp_max) # constraint = lower bounds on sums
#-- Identify equality constraints.
eq <- (!is.na(btemp_max) & abs(btemp_max - btemp_min) < 0.01)
bvec[nsets + which(eq)] <- NA # max constraint is redundant
# Move equality constraints to the front.
eq <- c(eq, rep(FALSE, nsets))
Amat_wrk <- cbind(Amat_wrk[, eq, drop=FALSE], Amat_wrk[, !eq, drop=FALSE])
bvec <- c(bvec[eq], bvec[!eq])
#-- Remove redundant or useless (Inf or NA) constraints.
Amat_wrk <- Amat_wrk[, is.finite(bvec), drop=FALSE]
bvec <- bvec[is.finite(bvec)]
if (WRK_VERBOSE > 1) {
cat(" nparm =", nparm, ", nsets =", nsets, ", # constraints =",
length(bvec), ", # equality constr. =", sum(eq), "\n")
}
# Solve for column/row sizes.
if (length(bvec) == 0) {
# Effectively no constraints, so initial solution is okay.
size <- size0
} else {
neq <- sum(eq)
soln <- try(quadprog::solve.QP(Dmat=Dmat_factorized, dvec=dvec,
Amat=Amat_wrk, bvec=bvec, meq=sum(eq),
factorized=TRUE),
silent=TRUE)
if (inherits(soln, "try-error")) stop(
"Unable to find row, column sizes that satisfy 'minwidth', ",
"'maxwidth' constraints for all entries")
size <- soln$solution
}
hsizeCol <- head(size, nc_tbl)
vsizeRow <- tail(size, nr_tbl)
# Get the size for each entry implied by the sizes of the rows, columns,
# and hvrules it spans. Use them to update 'wrap_width'.
effective_size <- calc_xsize(hsizeCol, vsizeRow)
effective_width <- ifelse(horiz, effective_size$xhsize,
effective_size$xvsize)
new_wrap_width <- pmin(xwidth, effective_width, maxwidth, na.rm=TRUE)
if (WRK_VERBOSE > 2) {
message("Creation of data frames for debugging is disabled ",
"(not allowed by CRAN checks)")
#assign(paste0("rcsize_WIDTHS", niter),
# data.frame(xwidth, effective_width, minwidth, maxwidth,
# wrap_width, new_wrap_width,
# row.names=row.names(entryInfo)),
# envir=.GlobalEnv)
}
}
entryInfo[, "maxwidth"] <- maxwidth_orig
}
# Get the size for each entry implied by the sizes of the rows and columns
# it spans:
effective_size <- calc_xsize(hsizeCol, vsizeRow)
# Check whether any constraints are violated for enabled entries.
effective_width <- ifelse(horiz, effective_size$xhsize,
effective_size$xvsize)
if (any(chk <- (enabled & (effective_width < minwidth - 0.01)))) warning(
"Width is less than 'minwidth' for entries: ",
toString(row.names(entryInfo)[chk], width=60))
if (any(chk <- (enabled & !is.na(maxwidth) &
(effective_width > maxwidth + 0.01)))) {
details <- toString(row.names(entryInfo)[chk], width=60)
if (tablesggOpt("allowWrap")) stop(
"Wrapping failed; width is greater than 'maxwidth' for entries: ",
details)
warning("Text wrapping is disabled and width is greater than 'maxwidth' ",
"for entries: ", details)
}
# 'sizeInfo' should look like return from 'entrySize_mm()'. Do *not*
# subtract descender size from 'hsize', 'vsize', since they may be passed
# to 'geom_textbox', which expects descenders to be included.
sizeInfo <- sz
attr(sizeInfo, "device") <- attr(sz, "device")
list(hsizeCol=hsizeCol, vsizeRow=vsizeRow, sizeInfo=sizeInfo)
}
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