Here, we’ll describe how to create quantile-quantile plots in R. QQ plot (or quantile-quantile plot) draws the correlation between a given sample and the normal distribution. A 45-degree reference line is also plotted. QQ plots are used to visually check the normality of the data.
I have draw a QQ plot for the data ( 주석 2019-12-07 140011.png ) and see that the QQplot is not Please next time say what you did, how you did it and what you found. Then just keep SNPing away at it. The QQ plot was drawn based on the "qqman" package in R and I used the p-value of logistics...
A QQ plot will help you answer that question. Checking Linear Regression Assumptions in R: Learn how to check the linearity assumption, constant variance (homoscedasticity) and the assumption of normality for a regression model in R. To learn more about Linear Regression Concept and with R...
In addition, the high-level graphics arguments described under plot.default and the arguments to title may be supplied to this function. Details The function qqnorm takes a single vector of data and an optional vector of weights for a normal (Gaussian) probability plot.