ggsurvplot_arguments: ggsurvplot Argument Descriptions
In survminer: Drawing Survival Curves using 'ggplot2'

ggsurvplot_arguments

R Documentation

ggsurvplot Argument Descriptions

Description

ggsurvplot Argument Descriptions

Arguments

`fit`	an object of class survfit.
`data`	a dataset used to fit survival curves. If not supplied then data will be extracted from 'fit' object.
`fun`	an arbitrary function defining a transformation of the survival curve. Often used transformations can be specified with a character argument: "event" plots cumulative events (f(y) = 1-y), "cumhaz" plots the cumulative hazard function (f(y) = -log(y)), and "pct" for survival probability in percentage.
`surv.scale`	scale transformation of survival curves. Allowed values are "default" or "percent".
`xscale`	numeric or character value specifying x-axis scale. If numeric, the value is used to divide the labels on the x axis. For example, a value of 365.25 will give labels in years instead of the original days. If character, allowed options include one of c("d_m", "d_y", "m_d", "m_y", "y_d", "y_m"), where d = days, m = months and y = years. For example, xscale = "d_m" will transform labels from days to months; xscale = "m_y", will transform labels from months to years.
`color`	color to be used for the survival curves. If the number of strata/group (n.strata) = 1, the expected value is the color name. For example color = "blue". If n.strata > 1, the expected value is the grouping variable name. By default, survival curves are colored by strata using the argument color = "strata", but you can also color survival curves by any other grouping variables used to fit the survival curves. In this case, it's possible to specify a custom color palette by using the argument palette.
`palette`	the color palette to be used. Allowed values include "hue" for the default hue color scale; "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". See details section for more information. Can be also a numeric vector of length(groups); in this case a basic color palette is created using the function palette.
`linetype`	line types. Allowed values includes i) "strata" for changing linetypes by strata (i.e. groups); ii) a numeric vector (e.g., c(1, 2)) or a character vector c("solid", "dashed").
`break.time.by`	numeric value controlling time axis breaks. Default value is NULL.
`break.x.by`	alias of break.time.by. Numeric value controlling x axis breaks. Default value is NULL.
`break.y.by`	same as break.x.by but for y axis.
`conf.int`	logical value. If TRUE, plots confidence interval.
`conf.int.fill`	fill color to be used for confidence interval.
`conf.int.style`	confidence interval style. Allowed values include c("ribbon", "step").
`conf.int.alpha`	numeric value specifying fill color transparency. Value should be in [0, 1], where 0 is full transparency and 1 is no transparency.
`censor`	logical value. If TRUE, censors will be drawn.
`censor.shape`	character or numeric value specifying the point shape of censors. Default value is "+" (3), a sensible choice is "\|" (124).
`censor.size`	numveric value specifying the point size of censors. Default is 4.5.
`pval`	logical value, a numeric or a string. If logical and TRUE, the p-value is added on the plot. If numeric, than the computet p-value is substituted with the one passed with this parameter. If character, then the customized string appears on the plot. See examples - Example 3.
`pval.size`	numeric value specifying the p-value text size. Default is 5.
`pval.coord`	numeric vector, of length 2, specifying the x and y coordinates of the p-value. Default values are NULL.
`title`	main title
`xlab`	x axis label
`ylab`	y axis label
`xlim`	x axis limits e.g. `xlim = c(0, 1000)`.
`ylim`	y axis limits e.g. `xlim = c(0, 1)`.
`axes.offset`	logical value. Default is TRUE. If FALSE, set the plot axes to start at the origin.
`legend`	character specifying legend position. Allowed values are one of c("top", "bottom", "left", "right", "none"). Default is "top" side position. to remove the legend use legend = "none". Legend position can be also specified using a numeric vector c(x, y); see details section.
`legend.title`	legend title.
`legend.labs`	character vector specifying legend labels. Used to replace the names of the strata from the fit. Should be given in the same order as those strata.
`risk.table`	Allowed values include: TRUE or FALSE specifying whether to show or not the risk table. Default is FALSE. "absolute" or "percentage". Shows the absolute number and the percentage of subjects at risk by time, respectively. "abs_pct" to show both absolute number and percentage. "nrisk_cumcensor" and "nrisk_cumevents". Show the number at risk and, the cumulative number of censoring and events, respectively.
`risk.table.title`	The title to be used for the risk table.
`risk.table.pos`	character vector specifying the risk table position. Allowed options are one of c("out", "in") indicating 'outside' or 'inside' the main plot, respectively. Default value is "out".
`risk.table.col`	same as tables.col but for risk table only.
`risk.table.fontsize`, `fontsize`	font size to be used for the risk table and the cumulative events table.
`risk.table.y.text`	logical. Default is TRUE. If FALSE, risk table y axis tick labels will be hidden.
`risk.table.y.text.col`	logical. Default value is FALSE. If TRUE, risk table tick labels will be colored by strata.
`tables.height`	numeric value (in [0 - 1]) specifying the general height of all tables under the main survival plot.
`tables.y.text`	logical. Default is TRUE. If FALSE, the y axis tick labels of tables will be hidden.
`tables.y.text.col`	logical. Default value is FALSE. If TRUE, tables tick labels will be colored by strata.
`tables.col`	color to be used for all tables under the main plot. Default value is "black". If you want to color by strata (i.e. groups), use tables.col = "strata".
`tables.theme`	function, ggplot2 theme name. Default value is theme_survminer. Allowed values include ggplot2 official themes: see `theme`. Note that, `tables.theme` is incremental to `ggtheme`.
`risk.table.height`	the height of the risk table on the grid. Increase the value when you have many strata. Default is 0.25. Ignored when risk.table = FALSE.
`surv.plot.height`	the height of the survival plot on the grid. Default is 0.75. Ignored when risk.table = FALSE.
`ncensor.plot`	logical value. If TRUE, the number of censored subjects at time t is plotted. Default is FALSE. Ignored when cumcensor = TRUE.
`ncensor.plot.title`	The title to be used for the censor plot. Used when `ncensor.plot = TRUE`.
`ncensor.plot.height`	The height of the censor plot. Used when `ncensor.plot = TRUE`.
`cumevents`	logical value specifying whether to show or not the table of the cumulative number of events. Default is FALSE.
`cumevents.title`	The title to be used for the cumulative events table.
`cumevents.col`	same as tables.col but for the cumulative events table only.
`cumevents.y.text`	logical. Default is TRUE. If FALSE, the y axis tick labels of the cumulative events table will be hidden.
`cumevents.y.text.col`	logical. Default value is FALSE. If TRUE, the y tick labels of the cumulative events will be colored by strata.
`cumevents.height`	the height of the cumulative events table on the grid. Default is 0.25. Ignored when cumevents = FALSE.
`cumcensor`	logical value specifying whether to show or not the table of the cumulative number of censoring. Default is FALSE.
`cumcensor.title`	The title to be used for the cumcensor table.
`cumcensor.col`	same as tables.col but for cumcensor table only.
`cumcensor.y.text`	logical. Default is TRUE. If FALSE, the y axis tick labels of the cumcensor table will be hidden.
`cumcensor.y.text.col`	logical. Default value is FALSE. If TRUE, the y tick labels of the cumcensor will be colored by strata.
`cumcensor.height`	the height of the cumcensor table on the grid. Default is 0.25. Ignored when cumcensor = FALSE.
`surv.median.line`	character vector for drawing a horizontal/vertical line at median survival. Allowed values include one of c("none", "hv", "h", "v"). v: vertical, h:horizontal.
`ggtheme`	function, ggplot2 theme name. Default value is theme_survminer. Allowed values include ggplot2 official themes: see `theme`.
`...`	other arguments to be passed i) to ggplot2 geom_*() functions such as linetype, size, ii) or to the function ggpar() for customizing the plots. See details section.
`log.rank.weights`	The name for the type of weights to be used in computing the p-value for log-rank test. By default `survdiff` is used to calculate regular log-rank test (with weights == 1). A user can specify `"1", "n", "sqrtN", "S1", "S2", "FH"` to use weights specified in comp, so that weight correspond to the test as : 1 - log-rank, n - Gehan-Breslow (generalized Wilcoxon), sqrtN - Tarone-Ware, S1 - Peto-Peto's modified survival estimate, S2 - modified Peto-Peto (by Andersen), FH - Fleming-Harrington(p=1, q=1).
`pval.method`	whether to add a text with the test name used for calculating the pvalue, that corresponds to survival curves' comparison - used only when `pval=TRUE`
`pval.method.size`	the same as `pval.size` but for displaying `log.rank.weights` name
`pval.method.coord`	the same as `pval.coord` but for displaying `log.rank.weights` name