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# ggSmallSampleFreqs <- function(data,
# category,
# symbol = category,
# color = category,
# width = NULL,
# scale_color = ggplot2::scale_color_viridis_d(),
# scale_shape = ggplot2::scale_shape_manual(values=c('\u26c4', '\u26f2', '\u2614'))) {
#
# ### Select columns and rows to use
# dat <- data[, c(category, symbol, color)];
# dat <- dat[complete.cases(dat), ];
#
# ### Sort by category variable
# dat <- dat[order(dat[, category]), ];
#
# ### Set with, if width was not yet set
# if (is.null(width)) {
# possibleWidths <- (1:nrow(dat))[nrow(dat) %% 1:nrow(dat) == 0];
# sqrtWidth <- sqrt(nrow(dat));
# width <- possibleWidths[which(abs(possibleWidths - sqrtWidth) == min(abs(possibleWidths - sqrtWidth)))];
# }
#
# if (!is.factor(dat[, category])) {
# dat[, category] <- as.factor(dat[, category]);
# }
# if (!is.factor(dat[, symbol])) {
# dat[, symbol] <- as.factor(dat[, symbol]);
# }
# if (!is.factor(dat[, color])) {
# dat[, color] <- as.factor(dat[, color]);
# }
#
# xVector <- rep(1:width,
# each=ceiling(nrow(dat)/width))[1:nrow(dat)];
#
# if (is.null(colors)) {
# colors <- viridis::viridis(length(unique(dat[, color])));
# }
#
# res <-
# ggplot2::ggplot(dat,
# ggplot2::aes_string(x='xVector',
# y=1,
# group=category,
# color=color,
# shape=symbol)) +
# ggplot2::geom_point(position=ggplot2::position_stack(reverse=TRUE),
# size=10) +
# scale_shape +
# scale_color +
# ggplot2::theme_minimal() +
# ggplot2::theme(panel.grid = ggplot2::element_blank(),
# axis.text = ggplot2::element_blank(),
# axis.title = ggplot2::element_blank()) +
# NULL;
#
# return(res);
#
# }
#
# ### https://jrgraphix.net/r/Unicode/2600-26FF
#
# print(ggSmallSampleFreqs(data=mtcars,
# category='vs',
# color='cyl'));
#
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