Removing Outliers to Plot Data
I am currently working a lot with R . One simple thing that helps me to better visualize data is to plot it excluding outliers. To do so, first read the data data = read.table(“myfile.txt”) Then, you can check how data is distributed quantile(data, c(.02, .05, .10, .50, .90, .95, .98)) An example output would be 2% 5% 10% 50% 90% 95% 98% 189 190 190 194 241 275 316 Now, to plot your data discarding the 1% lowest values and 1% higher values, you could use x <- quantile(data, c(.01, .99)) And then plot(data, xlim=c(x[[1]], x[[2]])) ...