show_sig_fit | R Documentation |
See sig_fit for examples.
show_sig_fit(
fit_result,
samples = NULL,
signatures = NULL,
plot_fun = c("boxplot", "violin", "scatter"),
palette = "aaas",
title = NULL,
xlab = FALSE,
ylab = "Signature exposure",
legend = "none",
width = 0.3,
outlier.shape = NA,
add = "jitter",
add.params = list(alpha = 0.3),
...
)
fit_result |
result object from sig_fit. |
samples |
samples to show, if |
signatures |
signatures to show. |
plot_fun |
set the plot function. |
palette |
the color palette to be used for coloring or filling by groups. Allowed values include "grey" for grey color palettes; brewer palettes e.g. "RdBu", "Blues", ...; or custom color palette e.g. c("blue", "red"); and scientific journal palettes from ggsci R package, e.g.: "npg", "aaas", "lancet", "jco", "ucscgb", "uchicago", "simpsons" and "rickandmorty". |
title |
plot main title. |
xlab |
character vector specifying x axis labels. Use xlab = FALSE to hide xlab. |
ylab |
character vector specifying y axis labels. Use ylab = FALSE to hide ylab. |
legend |
character specifying legend position. Allowed values are one of c("top", "bottom", "left", "right", "none"). To remove the legend use legend = "none". Legend position can be also specified using a numeric vector c(x, y); see details section. |
width |
numeric value between 0 and 1 specifying box width. |
outlier.shape |
point shape of outlier. Default is 19. To hide outlier,
specify |
add |
character vector for adding another plot element (e.g.: dot plot or error bars). Allowed values are one or the combination of: "none", "dotplot", "jitter", "boxplot", "point", "mean", "mean_se", "mean_sd", "mean_ci", "mean_range", "median", "median_iqr", "median_hilow", "median_q1q3", "median_mad", "median_range"; see ?desc_statby for more details. |
add.params |
parameters (color, shape, size, fill, linetype) for the argument 'add'; e.g.: add.params = list(color = "red"). |
... |
other arguments to be passed to
|
a ggplot
object.
sig_fit, show_sig_bootstrap_exposure, sig_fit_bootstrap, sig_fit_bootstrap_batch
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