Error Bars and Confidence Intervals API

# confidenceIntervalColor

# confidenceIntervalType

Confidence intervals type for Kaplan Meier estimates
Default: log
Options: ordinary, log, loglog

# confidenceLevel

Confidence level for regression, ellipse and Kaplan Meier.
Default: 0.95

# errorBarsColor

Color for the error bars in dotplots and barplots.
Default: rgb(0,0,0)

# errorBarsThickness

# errorBarsType

errorBarsType option
Type of error bars.
Default: confidenceInterval95
Options: standardDeviation, standardErrorMean, confidenceInterval95

# errorBarsWidth

errorBarsWidth integer
Minimum size of the bar in pixels to determine to show or hide error bar ends in the graphs when available.
Default: 2

# fitLineColor

# fitLineStyle

fitLineStyle option
Color for the fit line
Default: solid
Options: solid, dotted, dashed, dotdash, longdash, twodash

# invertCensored

invertCensored boolean
Flag to indicate whether zero values are censored or not in Kaplan-Meier plots
Default: false

# kaplanMeierBy

kaplanMeierBy option
Name of a sample annotation to create multiple Kaplan Meier plots.
Default: false
Options: false

# regressionOrder

regressionOrder integer
Specifies the number of degrees to solve for in polynomial regressions
Default: 2

# regressionType

Type of linear least-squares fitting methods for simple data analysis
Default: linear
Options: linear, exponential, logarithmic, power, polynomial

# showConfidenceIntervals

Flag to show or not the confidence intervals in the regression and Kaplan-Meier plots
See also: decorations
Default: true

# showErrorBars

showErrorBars boolean
Flag to indicate whether to show or not error bars in the graphs.
Default: true

# showRegressionFullRange

Flag to show or not the full range in regression plots
See also: decorations
Default: false

# standardDeviationType

Type of Standard Deviation. 'biased' uses n as denominator and 'unbiased' uses (n - 1) as denominator where n is the number of values
Default: unbiased
Options: biased, unbiased