R/gg_scatter.R
In myles-lewis/locuszoomr: Gene Locus Plot with Gene Annotations
Defines functions
gg_scatter
Documented in
gg_scatter
#' Locus scatter plot using ggplot2
#'
#' Produces a scatter plot from a 'locus' class object (without gene tracks).
#'
#' @param loc Object of class 'locus' to use for plot. See [locus].
#' @param index_snp Specifies index SNP to be shown in a different colour and
#' symbol. Defaults to the SNP with the lowest p-value. Set to `NULL` to not
#' show this.
#' @param pcutoff Cut-off for p value significance. Defaults to p = 5e-08. Set
#' to `NULL` to disable.
#' @param scheme Vector of 3 colours if LD is not shown: 1st = normal points,
#' 2nd = colour for significant points, 3rd = index SNP.
#' @param size Specifies size for points.
#' @param cex.axis Specifies font size for axis numbering.
#' @param cex.lab Specifies font size for axis titles.
#' @param xlab x axis title.
#' @param ylab y axis title.
#' @param yzero Logical whether to force y axis limit to include y=0.
#' @param xticks Logical whether x axis numbers and axis title are plotted.
#' @param border Logical whether a bounding box is plotted around the plot.
#' @param showLD Logical whether to show LD with colours
#' @param LD_scheme Vector of colours for plotting LD. The first colour is for SNPs
#' which lack LD information. The next 5 colours are for r2 or D' LD results
#' ranging from 0 to 1 in intervals of 0.2. The final colour is for the index
#' SNP.
#' @param recomb_col Colour for recombination rate line if recombination rate
#' data is present. Set to NA to hide the line. See [link_recomb()] to add
#' recombination rate data.
#' @param legend_pos Position of legend. Set to `NULL` to hide legend.
#' @param labels Character vector of SNP or genomic feature IDs to label. The
#' value "index" selects the highest point or index SNP as defined when
#' [locus()] is called. Set to `NULL` to remove all labels.
#' @param eqtl_gene Optional column name in `loc$data` for colouring eQTL genes.
#' @param beta Optional column name for beta coefficient to display upward
#' triangles for positive beta and downward triangles for negative beta
#' (significant SNPs only).
#' @param ... Optional arguments passed to `geom_text_repel()` to configure
#' label drawing.
#' @return Returns a ggplot2 plot.
#' @details
#' If recombination rate data is included in the locus object following a call
#' to [link_recomb()], this is plotted as an additional line with a secondary y
#' axis. In the base graphics version the line is placed under the scatter
#' points, but this is not possible with ggplot2 as the secondary y axis data
#' must be plotted on top of the primary scatter point data.
#'
#' @seealso [locus()] [gg_addgenes()]
#' @examples
#' if(require(EnsDb.Hsapiens.v75)) {
#' data(SLE_gwas_sub)
#' loc <- locus(SLE_gwas_sub, gene = 'IRF5', flank = c(7e4, 2e5), LD = "r2",
#' ens_db = "EnsDb.Hsapiens.v75")
#' gg_scatter(loc)
#' }
#' @importFrom ggplot2 ggplot geom_point xlim ylim labs theme_classic theme
#' scale_fill_manual scale_color_manual aes guide_legend element_text
#' element_blank element_rect unit geom_hline scale_y_continuous sec_axis
#' geom_line scale_shape_manual guides
#' @importFrom ggrepel geom_text_repel
#' @importFrom dplyr bind_rows
#' @importFrom rlang .data
#' @importFrom zoo na.approx
#' @export
#'
gg_scatter <- function(loc,
index_snp = loc$index_snp,
pcutoff = 5e-08,
scheme = c('grey', 'dodgerblue', 'red'),
size = 2,
cex.axis = 1,
cex.lab = 1,
xlab = NULL,
ylab = NULL,
yzero = (loc$yvar == "logP"),
xticks = TRUE,
border = FALSE,
showLD = TRUE,
LD_scheme = c('grey', 'royalblue', 'cyan2', 'green3',
'orange', 'red', 'purple'),
recomb_col = "blue",
legend_pos = 'topleft',
labels = NULL,
eqtl_gene = NULL,
beta = NULL, ...) {
if (!inherits(loc, "locus")) stop("Object of class 'locus' required")
if (is.null(loc$data)) stop("No data points, only gene tracks")
.call <- match.call()
data <- loc$data
if (is.null(xlab) & xticks) xlab <- paste("Chromosome", loc$seqname, "(Mb)")
if (is.null(ylab)) {
ylab <- if (loc$yvar == "logP") expression("-log"[10] ~ "P") else loc$yvar
}
hasLD <- "ld" %in% colnames(data)
if (!"bg" %in% colnames(data)) {
if (showLD & hasLD) {
data$bg <- cut(data$ld, -1:6/5, labels = FALSE)
data$bg[is.na(data$bg)] <- 1L
data$bg[data[, loc$labs] %in% index_snp] <- 7L
data$bg <- factor(data$bg, levels = 1:7)
data <- data[order(data$bg), ]
scheme <- rep_len(LD_scheme, 7)
if (is.null(index_snp)) {
scheme <- scheme[1:6]
data$bg <- factor(data$bg, levels = 1:6)
}
} else if (!is.null(eqtl_gene)) {
# eqtl gene colours
bg <- data[, eqtl_gene]
bg[data[, loc$p] > pcutoff] <- "ns"
bg <- relevel(factor(bg, levels = unique(bg)), "ns")
if (is.null(.call$scheme)) scheme <- eqtl_scheme(nlevels(bg))
data$bg <- bg
} else {
data$bg <- scheme[1]
if (loc$yvar == "logP") data$bg[data[, loc$p] < pcutoff] <- scheme[2]
data$bg[data[, loc$labs] %in% index_snp] <- scheme[3]
data$bg <- factor(data$bg, levels = scheme)
}
}
# scatter plot
if (!"col" %in% colnames(data)) data$col <- "black"
data$col <- as.factor(data$col)
# if (!"pch" %in% colnames(data)) data$pch <- 21
# data$pch <- as.factor(data$pch)
# shapes
if (!is.null(beta)) {
# beta symbols
data[, beta] <- signif(data[, beta], 3)
symbol <- as.character(sign(data[, beta]))
ind <- data[, loc$p] > pcutoff
symbol[ind] <- "ns"
data$.beta <- factor(symbol, levels = c("ns", "1", "-1"),
labels = c("ns", "up", "down"))
}
legend.justification <- NULL
legend_labels <- legend_title <- NULL
if (!is.null(legend_pos)) {
if (legend_pos == "topleft") {
legend.justification <- c(0, 1)
legend.position <- c(0.01, 0.99)
} else if (legend_pos == "topright") {
legend.justification <- c(1, 1)
legend.position <- c(0.99, 0.99)
} else {
legend.position <- legend_pos
}
if (showLD & hasLD) {
legend_title <- expression({r^2})
legend_labels <- rev(c("Index SNP", "0.8 - 1.0", "0.6 - 0.8", "0.4 - 0.6",
"0.2 - 0.4", "0.0 - 0.2", "NA"))
if (is.null(index_snp)) legend_labels <- legend_labels[1:6]
} else if (!is.null(eqtl_gene)) {
legend_labels <- levels(bg)
} else legend.position <- "none"
} else legend.position <- "none"
yrange <- range(data[, loc$yvar], na.rm = TRUE)
if (yzero) yrange[1] <- min(c(0, yrange[1]))
ycut <- -log10(pcutoff)
recomb <- !is.null(loc$recomb) & !is.na(recomb_col)
if (recomb) {
df <- loc$recomb[, c("start", "value")]
colnames(df) <- c(loc$pos, "recomb")
data <- dplyr::bind_rows(data, df)
data <- data[order(data[, loc$pos]), ]
data$recomb <- zoo::na.approx(data$recomb, data[, loc$pos], na.rm = FALSE)
}
data[, loc$pos] <- data[, loc$pos] / 1e6
# add labels
if (!is.null(labels)) {
i <- grep("index", labels, ignore.case = TRUE)
if (length(i) > 0) {
if (length(index_snp) == 1) {
labels[i] <- index_snp
} else {
labels <- labels[-i]
labels <- c(index_snp, labels)
}
}
text_label_ind <- match(labels, data[, loc$labs])
if (any(is.na(text_label_ind))) {
message("label ", paste(labels[is.na(text_label_ind)], collapse = ", "),
" not found")
}
}
ind <- data[, loc$labs] %in% index_snp
if (!recomb) {
if (is.null(beta)) {
# standard plot
p <- ggplot(data[!ind, ], aes(x = .data[[loc$pos]], y = .data[[loc$yvar]],
color = .data$col, fill = .data$bg)) +
(if (loc$yvar == "logP" & !is.null(pcutoff) &
ycut >= yrange[1] & ycut <= yrange[2]) {
geom_hline(yintercept = ycut,
colour = "grey", linetype = "dashed")
}) +
geom_point(shape = 21, size = size) +
geom_point(data = data[ind, ], shape = 23, size = size,
show.legend = FALSE) # index SNP
} else {
# beta triangles
p <- ggplot(data, aes(x = .data[[loc$pos]], y = .data[[loc$yvar]],
color = .data$col, fill = .data$bg,
shape = .data$.beta)) +
(if (loc$yvar == "logP" & !is.null(pcutoff) &
ycut >= yrange[1] & ycut <= yrange[2]) {
geom_hline(yintercept = ycut,
colour = "grey", linetype = "dashed")
}) +
geom_point(size = size) +
scale_shape_manual(values = c(21, 24, 25), name = NULL,
labels = c("ns", expression({beta > 0}),
expression({beta < 0}))) +
guides(fill = guide_legend(override.aes = list(shape = 21)))
}
p <- p +
scale_fill_manual(breaks = levels(data$bg), values = scheme,
guide = guide_legend(reverse = showLD & hasLD),
labels = legend_labels, name = legend_title) +
scale_color_manual(breaks = levels(data$col), values = levels(data$col),
guide = "none") +
# scale_shape_manual(breaks = levels(data$pch), values = levels(data$pch)) +
xlim(loc$xrange[1] / 1e6, loc$xrange[2] / 1e6) + ylim(yrange[1], NA) +
labs(x = xlab, y = ylab) +
theme_classic() +
theme(axis.text = element_text(colour = "black", size = 10 * cex.axis),
axis.title = element_text(size = 10 * cex.lab),
legend.justification = legend.justification,
legend.position = legend.position,
legend.title.align = 0.5,
legend.text.align = 0,
legend.key.size = unit(0.9, 'lines'),
legend.spacing.y = unit(0, 'lines')) +
if (!xticks) theme(axis.text.x=element_blank(),
axis.ticks.x=element_blank())
} else {
# recombination plot with dual y axis
ymult <- 100 / diff(yrange)
p <- ggplot(data[!ind, ], aes(x = .data[[loc$pos]])) +
(if (loc$yvar == "logP" & !is.null(pcutoff) &
ycut >= yrange[1] & ycut <= yrange[2]) {
geom_hline(yintercept = ycut,
colour = "grey", linetype = "dashed")
}) +
geom_point(aes(y = .data[[loc$yvar]], color = .data$col,
fill = .data$bg), shape = 21, size = size, na.rm = TRUE) +
# index SNP
geom_point(data = data[ind, ],
aes(y = .data[[loc$yvar]], color = .data$col,
fill = .data$bg), shape = 23, size = size, na.rm = TRUE,
show.legend = FALSE) +
scale_fill_manual(breaks = levels(data$bg), values = scheme,
guide = guide_legend(reverse = TRUE),
labels = legend_labels, name =legend_title) +
scale_color_manual(breaks = levels(data$col), values = levels(data$col),
guide = "none") +
geom_line(aes(y = .data$recomb / ymult + yrange[1]), color = recomb_col,
na.rm = TRUE) +
scale_y_continuous(name = ylab,
sec.axis = sec_axis(~(. - yrange[1]) * ymult,
name = "Recombination rate (%)")) +
xlim(loc$xrange[1] / 1e6, loc$xrange[2] / 1e6) +
xlab(xlab) +
theme_classic() +
theme(axis.text = element_text(colour = "black", size = 10 * cex.axis),
axis.title = element_text(size = 10 * cex.lab),
legend.justification = legend.justification,
legend.position = legend.position,
legend.title.align = 0.5,
legend.text.align = 0,
legend.key.size = unit(0.9, 'lines'),
legend.spacing.y = unit(0, 'lines')) +
if (!xticks) theme(axis.text.x=element_blank(),
axis.ticks.x=element_blank())
}
if (!is.null(labels)) {
p <- p +
geom_text_repel(data = data[text_label_ind, ],
mapping = aes(x = .data[[loc$pos]], y = .data[[loc$yvar]],
label = .data[[loc$labs]]),
point.size = size, ...)
}
if (border | recomb) {
p <- p + theme(panel.border = element_rect(colour = "black", fill = NA))
}
p
}
myles-lewis/locuszoomr documentation built on April 16, 2024, 11:13 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Defines functions gg_scatter
Documented in gg_scatter
#' Locus scatter plot using ggplot2
#'
#' Produces a scatter plot from a 'locus' class object (without gene tracks).
#'
#' @param loc Object of class 'locus' to use for plot. See [locus].
#' @param index_snp Specifies index SNP to be shown in a different colour and
#' symbol. Defaults to the SNP with the lowest p-value. Set to `NULL` to not
#' show this.
#' @param pcutoff Cut-off for p value significance. Defaults to p = 5e-08. Set
#' to `NULL` to disable.
#' @param scheme Vector of 3 colours if LD is not shown: 1st = normal points,
#' 2nd = colour for significant points, 3rd = index SNP.
#' @param size Specifies size for points.
#' @param cex.axis Specifies font size for axis numbering.
#' @param cex.lab Specifies font size for axis titles.
#' @param xlab x axis title.
#' @param ylab y axis title.
#' @param yzero Logical whether to force y axis limit to include y=0.
#' @param xticks Logical whether x axis numbers and axis title are plotted.
#' @param border Logical whether a bounding box is plotted around the plot.
#' @param showLD Logical whether to show LD with colours
#' @param LD_scheme Vector of colours for plotting LD. The first colour is for SNPs
#' which lack LD information. The next 5 colours are for r2 or D' LD results
#' ranging from 0 to 1 in intervals of 0.2. The final colour is for the index
#' SNP.
#' @param recomb_col Colour for recombination rate line if recombination rate
#' data is present. Set to NA to hide the line. See [link_recomb()] to add
#' recombination rate data.
#' @param legend_pos Position of legend. Set to `NULL` to hide legend.
#' @param labels Character vector of SNP or genomic feature IDs to label. The
#' value "index" selects the highest point or index SNP as defined when
#' [locus()] is called. Set to `NULL` to remove all labels.
#' @param eqtl_gene Optional column name in `loc$data` for colouring eQTL genes.
#' @param beta Optional column name for beta coefficient to display upward
#' triangles for positive beta and downward triangles for negative beta
#' (significant SNPs only).
#' @param ... Optional arguments passed to `geom_text_repel()` to configure
#' label drawing.
#' @return Returns a ggplot2 plot.
#' @details
#' If recombination rate data is included in the locus object following a call
#' to [link_recomb()], this is plotted as an additional line with a secondary y
#' axis. In the base graphics version the line is placed under the scatter
#' points, but this is not possible with ggplot2 as the secondary y axis data
#' must be plotted on top of the primary scatter point data.
#'
#' @seealso [locus()] [gg_addgenes()]
#' @examples
#' if(require(EnsDb.Hsapiens.v75)) {
#' data(SLE_gwas_sub)
#' loc <- locus(SLE_gwas_sub, gene = 'IRF5', flank = c(7e4, 2e5), LD = "r2",
#' ens_db = "EnsDb.Hsapiens.v75")
#' gg_scatter(loc)
#' }
#' @importFrom ggplot2 ggplot geom_point xlim ylim labs theme_classic theme
#' scale_fill_manual scale_color_manual aes guide_legend element_text
#' element_blank element_rect unit geom_hline scale_y_continuous sec_axis
#' geom_line scale_shape_manual guides
#' @importFrom ggrepel geom_text_repel
#' @importFrom dplyr bind_rows
#' @importFrom rlang .data
#' @importFrom zoo na.approx
#' @export
#'
gg_scatter <- function(loc,
index_snp = loc$index_snp,
pcutoff = 5e-08,
scheme = c('grey', 'dodgerblue', 'red'),
size = 2,
cex.axis = 1,
cex.lab = 1,
xlab = NULL,
ylab = NULL,
yzero = (loc$yvar == "logP"),
xticks = TRUE,
border = FALSE,
showLD = TRUE,
LD_scheme = c('grey', 'royalblue', 'cyan2', 'green3',
'orange', 'red', 'purple'),
recomb_col = "blue",
legend_pos = 'topleft',
labels = NULL,
eqtl_gene = NULL,
beta = NULL, ...) {
if (!inherits(loc, "locus")) stop("Object of class 'locus' required")
if (is.null(loc$data)) stop("No data points, only gene tracks")
.call <- match.call()
data <- loc$data
if (is.null(xlab) & xticks) xlab <- paste("Chromosome", loc$seqname, "(Mb)")
if (is.null(ylab)) {
ylab <- if (loc$yvar == "logP") expression("-log"[10] ~ "P") else loc$yvar
}
hasLD <- "ld" %in% colnames(data)
if (!"bg" %in% colnames(data)) {
if (showLD & hasLD) {
data$bg <- cut(data$ld, -1:6/5, labels = FALSE)
data$bg[is.na(data$bg)] <- 1L
data$bg[data[, loc$labs] %in% index_snp] <- 7L
data$bg <- factor(data$bg, levels = 1:7)
data <- data[order(data$bg), ]
scheme <- rep_len(LD_scheme, 7)
if (is.null(index_snp)) {
scheme <- scheme[1:6]
data$bg <- factor(data$bg, levels = 1:6)
}
} else if (!is.null(eqtl_gene)) {
# eqtl gene colours
bg <- data[, eqtl_gene]
bg[data[, loc$p] > pcutoff] <- "ns"
bg <- relevel(factor(bg, levels = unique(bg)), "ns")
if (is.null(.call$scheme)) scheme <- eqtl_scheme(nlevels(bg))
data$bg <- bg
} else {
data$bg <- scheme[1]
if (loc$yvar == "logP") data$bg[data[, loc$p] < pcutoff] <- scheme[2]
data$bg[data[, loc$labs] %in% index_snp] <- scheme[3]
data$bg <- factor(data$bg, levels = scheme)
}
}
# scatter plot
if (!"col" %in% colnames(data)) data$col <- "black"
data$col <- as.factor(data$col)
# if (!"pch" %in% colnames(data)) data$pch <- 21
# data$pch <- as.factor(data$pch)
# shapes
if (!is.null(beta)) {
# beta symbols
data[, beta] <- signif(data[, beta], 3)
symbol <- as.character(sign(data[, beta]))
ind <- data[, loc$p] > pcutoff
symbol[ind] <- "ns"
data$.beta <- factor(symbol, levels = c("ns", "1", "-1"),
labels = c("ns", "up", "down"))
}
legend.justification <- NULL
legend_labels <- legend_title <- NULL
if (!is.null(legend_pos)) {
if (legend_pos == "topleft") {
legend.justification <- c(0, 1)
legend.position <- c(0.01, 0.99)
} else if (legend_pos == "topright") {
legend.justification <- c(1, 1)
legend.position <- c(0.99, 0.99)
} else {
legend.position <- legend_pos
}
if (showLD & hasLD) {
legend_title <- expression({r^2})
legend_labels <- rev(c("Index SNP", "0.8 - 1.0", "0.6 - 0.8", "0.4 - 0.6",
"0.2 - 0.4", "0.0 - 0.2", "NA"))
if (is.null(index_snp)) legend_labels <- legend_labels[1:6]
} else if (!is.null(eqtl_gene)) {
legend_labels <- levels(bg)
} else legend.position <- "none"
} else legend.position <- "none"
yrange <- range(data[, loc$yvar], na.rm = TRUE)
if (yzero) yrange[1] <- min(c(0, yrange[1]))
ycut <- -log10(pcutoff)
recomb <- !is.null(loc$recomb) & !is.na(recomb_col)
if (recomb) {
df <- loc$recomb[, c("start", "value")]
colnames(df) <- c(loc$pos, "recomb")
data <- dplyr::bind_rows(data, df)
data <- data[order(data[, loc$pos]), ]
data$recomb <- zoo::na.approx(data$recomb, data[, loc$pos], na.rm = FALSE)
}
data[, loc$pos] <- data[, loc$pos] / 1e6
# add labels
if (!is.null(labels)) {
i <- grep("index", labels, ignore.case = TRUE)
if (length(i) > 0) {
if (length(index_snp) == 1) {
labels[i] <- index_snp
} else {
labels <- labels[-i]
labels <- c(index_snp, labels)
}
}
text_label_ind <- match(labels, data[, loc$labs])
if (any(is.na(text_label_ind))) {
message("label ", paste(labels[is.na(text_label_ind)], collapse = ", "),
" not found")
}
}
ind <- data[, loc$labs] %in% index_snp
if (!recomb) {
if (is.null(beta)) {
# standard plot
p <- ggplot(data[!ind, ], aes(x = .data[[loc$pos]], y = .data[[loc$yvar]],
color = .data$col, fill = .data$bg)) +
(if (loc$yvar == "logP" & !is.null(pcutoff) &
ycut >= yrange[1] & ycut <= yrange[2]) {
geom_hline(yintercept = ycut,
colour = "grey", linetype = "dashed")
}) +
geom_point(shape = 21, size = size) +
geom_point(data = data[ind, ], shape = 23, size = size,
show.legend = FALSE) # index SNP
} else {
# beta triangles
p <- ggplot(data, aes(x = .data[[loc$pos]], y = .data[[loc$yvar]],
color = .data$col, fill = .data$bg,
shape = .data$.beta)) +
(if (loc$yvar == "logP" & !is.null(pcutoff) &
ycut >= yrange[1] & ycut <= yrange[2]) {
geom_hline(yintercept = ycut,
colour = "grey", linetype = "dashed")
}) +
geom_point(size = size) +
scale_shape_manual(values = c(21, 24, 25), name = NULL,
labels = c("ns", expression({beta > 0}),
expression({beta < 0}))) +
guides(fill = guide_legend(override.aes = list(shape = 21)))
}
p <- p +
scale_fill_manual(breaks = levels(data$bg), values = scheme,
guide = guide_legend(reverse = showLD & hasLD),
labels = legend_labels, name = legend_title) +
scale_color_manual(breaks = levels(data$col), values = levels(data$col),
guide = "none") +
# scale_shape_manual(breaks = levels(data$pch), values = levels(data$pch)) +
xlim(loc$xrange[1] / 1e6, loc$xrange[2] / 1e6) + ylim(yrange[1], NA) +
labs(x = xlab, y = ylab) +
theme_classic() +
theme(axis.text = element_text(colour = "black", size = 10 * cex.axis),
axis.title = element_text(size = 10 * cex.lab),
legend.justification = legend.justification,
legend.position = legend.position,
legend.title.align = 0.5,
legend.text.align = 0,
legend.key.size = unit(0.9, 'lines'),
legend.spacing.y = unit(0, 'lines')) +
if (!xticks) theme(axis.text.x=element_blank(),
axis.ticks.x=element_blank())
} else {
# recombination plot with dual y axis
ymult <- 100 / diff(yrange)
p <- ggplot(data[!ind, ], aes(x = .data[[loc$pos]])) +
(if (loc$yvar == "logP" & !is.null(pcutoff) &
ycut >= yrange[1] & ycut <= yrange[2]) {
geom_hline(yintercept = ycut,
colour = "grey", linetype = "dashed")
}) +
geom_point(aes(y = .data[[loc$yvar]], color = .data$col,
fill = .data$bg), shape = 21, size = size, na.rm = TRUE) +
# index SNP
geom_point(data = data[ind, ],
aes(y = .data[[loc$yvar]], color = .data$col,
fill = .data$bg), shape = 23, size = size, na.rm = TRUE,
show.legend = FALSE) +
scale_fill_manual(breaks = levels(data$bg), values = scheme,
guide = guide_legend(reverse = TRUE),
labels = legend_labels, name =legend_title) +
scale_color_manual(breaks = levels(data$col), values = levels(data$col),
guide = "none") +
geom_line(aes(y = .data$recomb / ymult + yrange[1]), color = recomb_col,
na.rm = TRUE) +
scale_y_continuous(name = ylab,
sec.axis = sec_axis(~(. - yrange[1]) * ymult,
name = "Recombination rate (%)")) +
xlim(loc$xrange[1] / 1e6, loc$xrange[2] / 1e6) +
xlab(xlab) +
theme_classic() +
theme(axis.text = element_text(colour = "black", size = 10 * cex.axis),
axis.title = element_text(size = 10 * cex.lab),
legend.justification = legend.justification,
legend.position = legend.position,
legend.title.align = 0.5,
legend.text.align = 0,
legend.key.size = unit(0.9, 'lines'),
legend.spacing.y = unit(0, 'lines')) +
if (!xticks) theme(axis.text.x=element_blank(),
axis.ticks.x=element_blank())
}
if (!is.null(labels)) {
p <- p +
geom_text_repel(data = data[text_label_ind, ],
mapping = aes(x = .data[[loc$pos]], y = .data[[loc$yvar]],
label = .data[[loc$labs]]),
point.size = size, ...)
}
if (border | recomb) {
p <- p + theme(panel.border = element_rect(colour = "black", fill = NA))
}
p
}
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.