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Confidence interval graph r
Confidence interval graph r








library ( fixest ) library ( ggiplot ) # These examples borrow from the fixest::iplot() documentation and the # introductory package vignette. # We'll also load fixest to estimate the actual models that we're plottig. For example, we can make the CI band lighter withĬi.fill.par = list(alpha = 0.2) (the default alpha is 0.3).ĭict a dictionary for overriding coefficient names. Geom_style = "ribbon" and currently only affects the alpha (transparency)Ĭhannel. The default value is 0.2.Ĭi.fill.par for changing the confidence interval fill. Only used if geom_style = "errorbar" (or if multiple CI levelsĪre requested for the default pointrange style). ci_level = c(0.8, 0.95).Ĭi.width for changing the width of the extremities of the confidence Note that multiple levels are allowed, e.g. Pt.pch and pt.join for overriding the default point estimate shapes and joining them, respectively.Ĭol for manually defining line, point, and ribbon colours.Ĭi_level for changing the desired confidence level (default = 0.95). For example, = list(col = 'red', lty = 4). Ref.line and for defining or adjusting the vertical ForĮxample, zero.par = list(col = 'orange'). Zero and zero.par for defining or adjusting the zero line. Main, xlab, and ylab for setting the plot title, x- and y-axis labels, respectively. Note that some of these require list objects. See examples.Īrguments passed down, or equivalent, to the correspondingįixest::iplot() arguments. Can also be defined on anĮxisting ggiplot object to redefine theme elements. Defaults to theme_linedraw() with some minorĪdjustments, such as centered plot title. facet_args = list(ncol = 2, scales = 'free_y'). facet_argsĪ list of arguments passed down to ggplot::fact_wrap().Į.g.

confidence interval graph r

The default values are col = 'gray50', lwd = 1, lty = 1. Parameters of the aggregated treatment effect line, Should be one of "none" (the default), "post",

confidence interval graph r

Post- (and/or pre-) treatment effect should be plotted alongside the aggr_effĪ character string indicating whether the aggregated mean How multi-model objects should be presented. One of c('pointrange', 'errorbar', 'ribbon')ĭescribing the preferred geometric representation of the coefficients. A model object of class fixest or fixest_multi, or a listĬharacter string.










Confidence interval graph r