Kiwongxckpu

 Outlier detection with Boxplots In descriptive statistics, a box plot or boxplot is a method for graphically depicting groups of numerical data through their quartiles Box plots 1 Answer1 Active Oldest Votes 15 boxplot (y1$Frequencytimes, col="grey", outcol="red") or preferably, but longer boxplot (y1$Frequencytimes, col="grey", pars=list (outcol="red")) It's all in the manual, but it can be hard to find if you aren't that experienced require(ggplot2) require(ggrepel) require(dplyr) DATA %>% ggplot(aes(x = DAYTYPE, y = VALUE, label = DATE)) theme_minimal() theme(axistextx = element_text(colour = "gray44"), axistitle = element_text(colour = "gray44")) # change color of the axis labels and titles stat_boxplot(geom = "errorbar", width = 05) # add proper whiskers on boxplot geom_boxplot(aes(fill = DAYTYPE), alpha = 05, outliershape = NA, showlegend = F) geom_jitter(aes(x = DAYTYPE, y = INLIER), color Bokeh B