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 You can use the geometric object geom_boxplot() from ggplot2 library to draw a boxplot() in R Boxplots() in R helps to visualize the distribution of the data by quartile and detect the presence of outliers We will use the airquality dataset to introduce boxplot() in R with ggplotTo ignore the outliers, you can use the boxplotstats function to compute the lower and upper whiskers of the plot and then scale the ylimits accordingly For example df = dataframe(y = c(300, rnorm(300), 300))We used the outline argument in the boxplot() function call to suppress the drawing of outliers By default, outline is set to TRUE To exclude outliers, we set it to FALSE Better Box Plots For Psychological Science By Daniel Yudkin Towards Data Science R ggplot boxplot remove outlier

Multiply 4 4 by 1 1 Subtract 9 4 9 4 from 0 0 Substitute the values of a a, d d, and e e into the vertex form a ( x d) 2 e a ( x d) 2 e Set y y equal to the new right side Use the vertex form, y = a ( x h) 2 k y = a ( x − h) 2 k, to determine the values of a a, h h, and k kSince this tells us that the yintercept is Remember the yintercept is the point where the graph intersects with the yaxis So we have one point Now since the slope is comprised of the "rise" over the "run" this means Also, because the slope is , this means which shows us that the rise is 2 and the run is 317/3/18 See a solution process below First, solve for two points which solve the equation and plot these points First Point For x = 0 y = 2/3 xx 0 y = 0 or (0, 0) Second Point For x = 3 y = 2/3 xx 3 y = 6/3 y = 2 or (3, 2) We can next plot the two points on the coordinate plane graph{(x^2y^035)((x3)^2(y2)^035)=0 10, 10, 5, 5} Now, we can draw a 1 Y = 3x^2 - x^3 graph