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#' @title Main workhorse function that builds the positive logo plots
#'
#' @description stacks logos created by the \code{makemylogo} function on top of
#' each other to build the logo plot.
#'
#' @param table The input table (data frame or matrix) of counts across different
#' logos or symbols (specified along the rows) ans across different sites or
#' positions or groups (specified along the columns).
#'
#' @param ic A vector of same length as the number of columns in the \code{table},
#' repesenting the heights of the logo stacked bars for each position/site/block.
#' It defaults to NULL, in which case, the function computes the ic vector using
#' the \code{ic_computer} functionality.
#'
#' @param color_profile A list containing two elements - "type" and "col".
#' The type can be of three types - "per-row", "per-column" and "per-symbol".
#' The "col" element is a vector of colors, of same length as number of rows
#' in table for "per-row" (assigning a color to each string), of same length
#' as number of columns in table for "per-column" (assuming a color for each
#' column), or a distinct color for a distinct symbol in "per-symbol". For
#' "per-symbol", the length of the \code{color_profile$col} should be same as
#' library size of the logos, but if the vector of colors provided is more or
#' less, we can downsample or upsample the colors as required. The colors
#' are matched with the symbols in the \code{total_chars}
#'
#' @param total_chars The total number of character symbols in the user library.
#' The default is the default library provided by Logolas, but the user can
#' add symbols that he creates to this list.
#'
#' @param bg The background probability, which defaults to NULL, in which case
#' equal probability is assigned to each symbol. The user can however specify a
#' vector (equal to in length to the number of symbols) which specifies the
#' background probability for each symbol and assumes this background probability
#' to be the same across the columns (sites), or a matrix, whose each cell
#' specifies the background probability of the symbols for each position.
#'
#'
#' @param frame_width The width of the frames for individual site/postion/column
#' in the logo plot. As default, all the columns have same width, equal to 1.
#'
#' @param ic.scale if TRUE, the height of the bars in the stacked logo chart for
#' each column is determined based on the information criterion input.
#' Otherwise, the bars are normalized so that the height of each bar is $1$.
#' Defaults to TRUE.
#'
#' @param xaxis Binary specifying if there should be a X axis in the logo plot
#' or not. Defaults to TRUE.
#'
#' @param yaxis Binary specifying if there should be a Y axis in the logo plot
#' or not. Defaults to TRUE.
#'
#' @param xaxis_fontsize The size of the X-axis axis ticks.
#'
#' @param xlab_fontsize The size of the X-axis label.
#'
#' @param y_fontsize The size of the Y-axis font.
#'
#' @param main_fontsize The size of the title.
#'
#' @param yscale_change If TRUE, adjusts the Y axis scale based on the size of
#' the bars, else keeps it to the maximum value possible, which is
#' \code{ceiling(max(ic)} under \code{ic_computer} defined IC criteria.
#'
#' @param start The starting point in Y axis for the first logo. Default is
#' 0.0001 which is very close to 0.
#'
#' @param pop_name User can mention a name of the population for which the logo
#' plot is created. Defaults to NULL when no population name is mentioned.
#'
#' @param xlab X axis label
#' @param ylab Y axis label
#'
#' @param col_line_split The color of the line split between the consecutive
#' groups or blocks
#'
#' @param addlogos Vector of additional logos/symbols defined by user
#' @param addlogos_text Vector of the names given to the additional
#' logos/symbols defined by user.
#'
#'
#' @param newpage if TRUE, plots the logo plot in a new page. Defaults to TRUE.
#'
#' @param control control parameters fixing whether the height of the logos is
#' detrmined by IC or histogram proportions (\code{hist}), the scales for the
#' plot (\code{scale0}, \code{scale1}), whether the symbols should be filled
#' with color or border colored (\code{tofill}), the Renyi alpha parameter for
#' the entropy calculation (\code{alpha}), the gap between ylabel and y-axis and
#' xlabel and x-axis texts (\code{gap_ylab}, \code{gap_xlab}), and the viewport
#' configuration details for the plot (\code{viewport.margin.bottom},
#' \code{viewport.margin.left}, \code{viewport.margin.top},
#' \code{viewport.margin.right}), whether the height of the logos would be fixed
#' apriori or determined by the PWM matrix as in seqLogo
#' (\code{use_seqLogo_heights}) etc.
#'
#' @return Plots the logo plot for the table data, with column names representing
#' the sites/blocks and the row names denoting the symbols for which logos are
#' plotted
#'
#' @keywords internal
#'
#' @examples
#'
#' cols = RColorBrewer::brewer.pal.info[RColorBrewer::brewer.pal.info$category == 'qual',]
#' col_vector = unlist(mapply(RColorBrewer::brewer.pal, cols$maxcolors,
#' rownames(cols)))
#' counts_mat <- rbind(c(0, 10, 100, 60, 20),
#' c(40, 30, 30, 35, 20),
#' c(100, 0, 15, 25, 75),
#' c(10, 30, 20, 50, 70))
#' colnames(counts_mat) <- c("2012", "2013", "2014", "2015", "2016")
#' rownames(counts_mat) <- c("MAN", "MAIL", "LAWN", "CAR")
#'
#' color_profile <- list("type" = "per_symbol",
#' "col" = col_vector)
#' plogomaker(counts_mat,
#' color_profile = color_profile,
#' frame_width = 1,
#' ic.scale = FALSE)
#'
#' color_profile <- list("type" = "per_row",
#' "col" = col_vector[1:4])
#'
#' plogomaker(counts_mat,
#' color_profile = color_profile,
#' frame_width = 1,
#' ic.scale = FALSE)
#'
#' color_profile <- list("type" = "per_column",
#' "col" = col_vector[1:5])
#'
#' plogomaker(counts_mat,
#' color_profile = color_profile,
#' frame_width = 1,
#' ic.scale = FALSE)
#'
#' @import grid
#' @importFrom graphics par
#' @importFrom utils modifyList
#' @export
#'
plogomaker <- function( table,
ic=NULL,
color_profile,
total_chars = c("A", "B", "C", "D", "E", "F", "G", "H",
"I", "J", "K", "L", "M", "N", "O",
"P", "Q", "R", "S", "T", "U", "V", "W",
"X", "Y", "Z", "zero", "one", "two",
"three", "four", "five", "six", "seven",
"eight", "nine", "dot", "comma",
"dash", "colon", "semicolon",
"leftarrow", "rightarrow"),
bg = NULL,
frame_width=NULL,
ic.scale=TRUE,
xaxis=TRUE,
yaxis=TRUE,
xaxis_fontsize=10,
xlab_fontsize=15,
y_fontsize=15,
main_fontsize=16,
start=0.001,
yscale_change=TRUE,
pop_name = NULL,
xlab = "X",
ylab = "Information content",
col_line_split="grey80",
addlogos = NULL,
addlogos_text = NULL,
newpage = TRUE,
control = list()){
table <- apply(table+0.0001,2,normalize2)
control.default <- list(hist = FALSE, alpha = 1, scale0=0.01,
scale1=0.99, tofill = TRUE, lwd = 2,
gap_ylab = 3, gap_xlab = 3,
totbins = 5, round_off = 1,
viewport.margin.bottom = NULL,
viewport.margin.left = NULL,
viewport.margin.top = NULL,
viewport.margin.right = NULL,
use_seqLogo_heights = FALSE)
# viewport margins usually c(3, 5, 3, 3)
control <- modifyList(control.default, control)
scale0 <- control$scale0
scale1 <- control$scale1
hist <- control$hist
alpha <- control$alpha
npos <- ncol(table)
if(color_profile$type == "per_column"){
if(length(color_profile$col) != npos){
stop("number of colors must equal the number of columns of the table")
}
}
if(color_profile$type == "per_row"){
if(length(color_profile$col) != nrow(table)){
stop("the number of colors must match the number of rows of the table")
}
}
if(is.null(frame_width)){
message("frame width not provided, taken to be 1")
wt <- rep(1,dim(table)[2])
}
if(!is.null(frame_width)){
if(length(frame_width)==1){
wt <- rep(frame_width, dim(table)[2])
}else{
wt <- frame_width
}
}
if (class(table) == "data.frame"){
table <- as.matrix(table)
}else if (class(table) != "matrix"){
stop("the table must be of class matrix or data.frame")
}
#print(table)
table_mat_norm <- apply(table, 2, function(x) return(x/sum(x[!is.na(x)])))
#table_mat_norm <- replace(table_mat_norm, is.na(table_mat_norm), 0)
npos <- ncol(table_mat_norm)
chars <- as.character(rownames(table_mat_norm))
#print(table_mat_norm)
if(is.null(ic)){
if(hist==FALSE){
ic <- ic_computer(table_mat_norm, alpha, hist=hist, bg = bg)
}else{
ic <- ic_computer(table, alpha, hist=hist, bg = bg)
}
}
table_mat_norm <- replace(table_mat_norm, is.na(table_mat_norm), 0)
letters <- list(x=NULL,y=NULL,id=NULL,fill=NULL, colfill = NULL)
npos <- ncol(table_mat_norm)
if (ic.scale){
if(yscale_change){
if(max(ic)<1){ylim <- 1
facs <- ic + 1 - max(ic)}
if(max(ic)>1){ylim <- ceiling(max(ic))
facs <- ic}
}else{
ylim <- ceiling(max(ic))
facs <- ic
}
ylab <- ylab
facs <- ic
}else{
ylim <- 1
ylab <- ylab
facs <- rep(1, npos)
}
x.pos <- 0
slash_inds <- grep("/", chars)
if(color_profile$type == "per_row"){
for (j in seq_len(npos)){
column <- table_mat_norm[,j]
hts <- as.numeric(0.99*column*facs[j])
letterOrder <- order(hts)
y.pos <- 0
for (i in seq_along(chars)){
letter <- chars[letterOrder[i]]
col <- color_profile$col[letterOrder[i]]
ht <- hts[letterOrder[i]]
if(length(intersect(letterOrder[i], slash_inds))!=0){
if (ht>0) letters <- addLetter(letters,letter,
tofill = control$tofill,
lwd = control$lwd, col, total_chars,
x.pos, y.pos, ht, wt[j],
scale0 = scale0, scale1=scale1,
addlogos = addlogos,
addlogos_text = addlogos_text)
}else{
if (ht>0) letters <- addLetter(letters,letter,
tofill = control$tofill,
lwd = control$lwd, col, total_chars,
x.pos, y.pos, ht, wt[j],
scale0 = scale0, scale1=scale1,
addlogos = NULL, addlogos_text = NULL)
}
y.pos <- y.pos + ht + start
}
x.pos <- x.pos + wt[j]
}
}
if(color_profile$type == "per_symbol"){
for (j in seq_len(npos)){
column <- table_mat_norm[,j]
hts <- as.numeric(0.99*column*facs[j])
letterOrder <- order(hts)
y.pos <- 0
for (i in seq_along(chars)){
letter <- chars[letterOrder[i]]
ht <- hts[letterOrder[i]]
if(length(intersect(letterOrder[i], slash_inds))!=0){
if (ht>0) letters <- addLetter(letters,letter,
tofill = control$tofill,
lwd = control$lwd, color_profile$col,
total_chars, x.pos, y.pos, ht, wt[j],
scale0 = scale0, scale1=scale1,
addlogos = addlogos,
addlogos_text = addlogos_text)
}else{
if (ht>0) letters <- addLetter(letters,letter,
tofill = control$tofill,
lwd = control$lwd,
color_profile$col,
total_chars, x.pos, y.pos,
ht, wt[j], scale0 = scale0,
scale1=scale1, addlogos = NULL,
addlogos_text = NULL)
}
y.pos <- y.pos + ht + start
}
x.pos <- x.pos + wt[j]
}
}
if(color_profile$type == "per_column"){
for (j in seq_len(npos)){
column <- table_mat_norm[,j]
hts <- as.numeric(0.99*column*facs[j])
letterOrder <- order(hts)
y.pos <- 0
for (i in seq_along(chars)){
letter <- chars[letterOrder[i]]
ht <- hts[letterOrder[i]]
if(length(intersect(letterOrder[i], slash_inds))!=0){
if (ht>0) letters <- addLetter(letters,letter,
tofill = control$tofill,
lwd = control$lwd,
color_profile$col[j],
total_chars, x.pos, y.pos,
ht, wt[j], scale0 = scale0,
scale1=scale1, addlogos = addlogos,
addlogos_text = addlogos_text)
}else{
if (ht>0) letters <- addLetter(letters,letter,
tofill = control$tofill,
lwd = control$lwd,
color_profile$col[j],
total_chars, x.pos, y.pos,
ht, wt[j], scale0 = scale0,
scale1=scale1, addlogos = NULL,
addlogos_text = NULL)
}
y.pos <- y.pos + ht + start
}
x.pos <- x.pos + wt[j]
}
}
xlim <- cumsum(wt) - wt/2;
# xlim <- c(wt[1]/2, wt[1] + wt[2]/2, wt[1]+wt[2]+wt[3]/2, wt[1]+wt[2]+wt[3], 5.5)
low_xlim <- c(xlim - 0.5*wt, xlim[length(xlim)]+0.5*wt[length(xlim)])
ylim_scale <- seq(0, ylim, length.out=control$totbins);
if(ic.scale){
ic_lim_scale <- seq(0, max(ic), length.out=control$totbins)
}else{
ic_lim_scale <- ylim_scale
}
if(ic.scale){
if(yscale_change){
# if(ylim > 1){
letters$y <- letters$y*(ylim/max(ic));
# }
}}
if(newpage){
grid::grid.newpage()
}
if(control$use_seqLogo_heights){
if(is.null(control$viewport.margin.bottom))
{bottomMargin <- ifelse(xaxis, 1 + xaxis_fontsize/3.5, 3)}
else{bottomMargin <- control$viewport.margin.bottom}
if(is.null(control$viewport.margin.left))
{leftMargin <- ifelse(xaxis, 2 + xaxis_fontsize/3.5, 3)}
else{leftMargin <- control$viewport.margin.left}
if(is.null(control$viewport.margin.top)){topMargin <- max(ylim)+0.5}
else{topMargin <- control$viewport.margin.top}
if(is.null(control$viewport.margin.right)){rightMargin <- max(ylim)}
else{rightMargin <- control$viewport.margin.right}
}else{
if(is.null(control$viewport.margin.bottom))
{control$viewport.margin.bottom = 3}
if(is.null(control$viewport.margin.left))
{control$viewport.margin.left = 5}
if(is.null(control$viewport.margin.top))
{control$viewport.margin.top = 2.5}
if(is.null(control$viewport.margin.right))
{control$viewport.margin.right = 2.5}
topMargin <- control$viewport.margin.top
rightMargin <- control$viewport.margin.right
leftMargin <- control$viewport.margin.left
bottomMargin <- control$viewport.margin.bottom
}
grid::pushViewport(grid::plotViewport(c(bottomMargin, leftMargin,
topMargin, rightMargin)))
# pushViewport(viewport(layout = grid.layout(2, 2),
# x = bottomMargin,
# y = leftMargin,
# width = max(xlim/2)+0.5,
# height = max(ylim/2)+0.5))
grid::pushViewport(grid::dataViewport(0:ncol(table_mat_norm),
0:ylim,name="vp1"))
if(control$tofill){
grid::grid.polygon(x=grid::unit(letters$x,"native"),
y=grid::unit(letters$y,"native"),
id=letters$id,
gp=grid::gpar(fill=letters$fill, col="transparent"))
}else{
grid::grid.polygon(x=grid::unit(letters$x,"native"),
y=grid::unit(letters$y,"native"),
id=letters$id,
gp=grid::gpar(col=letters$colfill, lwd = control$lwd))
}
for(n in 2:length(xlim)){
grid::grid.lines(x = grid::unit(low_xlim[n], "native"),
y = grid::unit(c(0, ylim), "native"),
gp=grid::gpar(col=col_line_split))
}
if(is.null(pop_name)){
grid::grid.text("Logolas plot:", y = grid::unit(1, "npc") + grid::unit(0.8, "lines"),
gp = grid::gpar(fontsize = main_fontsize))
}else{
grid::grid.text(paste0("", pop_name),
y = grid::unit(1, "npc") + grid::unit(0.8, "lines"),
gp = grid::gpar(fontsize = main_fontsize))
}
if (xaxis){
grid::grid.xaxis(at=wt*seq(0.5,ncol(table_mat_norm)-0.5),
label=colnames(table_mat_norm),
gp=grid::gpar(fontsize=xaxis_fontsize))
grid::grid.text(xlab, y=grid::unit(-control$gap_xlab,"lines"),
gp=grid::gpar(fontsize=xaxis_fontsize))
}
if (yaxis){
if(yscale_change==TRUE){
s <- 1
tempp <- round(ic_lim_scale,control$round_off)
while (length(unique(tempp)) < length(tempp)){
s <- s+1
tempp <- round(ic_lim_scale,s)
}
grid::grid.yaxis(at = ylim_scale,
label = tempp,
gp=grid::gpar(fontsize=y_fontsize))
}else{
grid::grid.yaxis(gp=grid::gpar(fontsize=y_fontsize))
}
grid::grid.text(ylab,x=grid::unit(-control$gap_ylab,"lines"),rot=90,
gp=grid::gpar(fontsize=y_fontsize))
}
grid::popViewport()
grid::popViewport()
par(ask=FALSE)
return(ic)
}
addLetter <- function(letters, letter, tofill, lwd,
col, total_chars, x.pos, y.pos, ht, wt,
scale0=0.01, scale1=0.99,
addlogos=NULL, addlogos_text=NULL){
letter <- toupper(letter)
out <- makemylogo(letter,
tofill = tofill,
colfill = col,
lwd = lwd,
total_chars = total_chars,
addlogos=addlogos,
addlogos_text = addlogos_text)
x <- x.pos + out$x * wt
y <- y.pos + (scale1*out$y+scale0) * ht
letter <- list("x"=x,
"y"=y,
"id"=out$id,
"fill"=out$fill,
"colfill" = out$colfill)
letters$x <- c(letters$x,letter$x)
letters$y <- c(letters$y,letter$y)
lastID <- ifelse(is.null(letters$id),0,max(letters$id))
letters$id <- c(letters$id,lastID+letter$id)
letters$fill <- c(letters$fill,letter$fill)
letters$colfill <- c(letters$colfill,letter$colfill)
return(letters)
}
normalize2 = function(x){return(x/sum(x[!is.na(x)]))}
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