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description=Learn how to create a scatterplot in R. The basic function is plot(x, y), where x and y are numeric vectors denoting the (x,y) points to plot.;

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scatterplot in r skip to main content en english español português deutsch beta français beta italiano beta türkçe beta bahasa indonesia beta tiếng việt beta nederlands beta हिन्दी beta 日本語 beta 한국어 beta polski beta română beta русский beta svenska beta ไทย beta 中文 简体 beta more information found an error docs blogs tutorials docs new podcasts cheat sheets code alongs newsletter browse courses documents r documentation r tutorial r interface batch processing customizing startup getting help graphic user interfaces input output publication quality output reusing results r packages the workspace data input in r access to database management systems dbms data types date values exporting data getting information on a dataset importing data keyboard input missing data value labels variable labels data management in r aggregating data built in functions control structures creating new variables data type conversion merging data operators reshaping data sorting data subsetting data user 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ways to create a scatterplot in r the basic function is plot x y where x and y are numeric vectors denoting the x y points to plot simple scatterplot attach mtcars plot wt mpg main scatterplot example xlab car weight ylab miles per gallon pch 19 to practice making a simple scatterplot try this interactive example from datacamp the scatterplot function in the car package offers many enhanced features including fit lines marginal box plots conditioning on a factor and interactive point identification each of these features is optional enhanced scatterplot of mpg vs weight by number of car cylinders library car scatterplot mpg wt cyl data mtcars xlab weight of car ylab miles per gallon main enhanced scatter plot labels row names mtcars scatterplot matrices there are at least 4 useful functions for creating scatterplot matrices analysts must love scatterplot matrices basic scatterplot matrix pairs mpg disp drat wt data mtcars main simple scatterplot matrix the lattice package provides options to condition the scatterplot matrix on a factor scatterplot matrices from the lattice package library lattice splom mtcars c 1 3 5 6 groups cyl data mtcars panel panel superpose key list title three cylinder options columns 3 points list pch super sym pch 1 3 col super sym col 1 3 text list c 4 cylinder 6 cylinder 8 cylinder the car package can condition the scatterplot matrix on a factor and optionally include lowess and linear best fit lines and boxplot densities or histograms in the principal diagonal as well as rug plots in the margins of the cells scatterplot matrices from the car package library car scatterplot matrix mpg disp drat wt cyl data mtcars main three cylinder options the gclus package provides options to rearrange the variables so that those with higher correlations are closer to the principal diagonal it can also color code the cells to reflect the size of the correlations scatterplot matrices from the glus package library gclus dta mtcars c 1 3 5 6 get data dta r abs cor dta get correlations dta col dmat color dta r get colors reorder variables so those with highest correlation are closest to the diagonal dta o order single dta r cpairs dta dta o panel colors dta col gap 5 main variables ordered and colored by correlation high density scatterplots when there are many data points and significant overlap scatterplots become less useful there are several approaches that be used when this occurs the hexbin x y function in the hexbin package provides bivariate binning into hexagonal cells it looks better than it sounds high density scatterplot with binning library hexbin x rnorm 1000 y rnorm 1000 bin hexbin x y xbins 50 plot bin main hexagonal binning another option for a scatterplot with significant point overlap is the sunflowerplot see help sunflowerplot for details finally you can save the scatterplot in pdf format and use color transparency to allow points that overlap to show through this idea comes from b s everrit in hsaur high density scatterplot with color transparency pdf c scatterplot pdf x rnorm 1000 y rnorm 1000 plot x y main pdf scatterplot example col rgb 0 100 0 50 maxcolorvalue 255 pch 16 dev off note you can use the col2rgb function to get the rbg values for r colors for example col2rgb darkgreen yeilds r 0 g 100 b 0 then add the alpha transparency level as the 4th number in the color vector a value of zero means fully transparent see help rgb for more information 3d scatterplots you can create a 3d scatterplot with the scatterplot3d package use the function scatterplot3d x y z 3d scatterplot library scatterplot3d attach mtcars scatterplot3d wt disp mpg main 3d scatterplot 3d scatterplot with coloring and vertical drop lines library scatterplot3d attach mtcars scatterplot3d wt disp mpg pch 16 highlight 3d true type h main 3d scatterplot 3d scatterplot with coloring and vertical lines and regression plane library scatterplot3d attach mtcars s3d scatterplot3d wt disp mpg pch 16 highlight 3d true type h main 3d scatterplot fit lm mpg wt disp s3d plane3d fit spinning 3d scatterplots you can also create an interactive 3d scatterplot using the plot3d x y z function in the rgl package it creates a spinning 3d scatterplot that can be rotated with the mouse the first three arguments are the x y and z numeric vectors representing points col and size control the color and size of the points respectively spinning 3d scatterplot library rgl plot3d wt disp mpg col red size 3 you can perform a similar function with the scatter3d x y z in the rcmdr package another spinning 3d scatterplot library rcmdr attach mtcars scatter3d wt disp mpg to practice try the creating scatterplot exercises in this course on data visualization in r this content is taken from statmethods net learn r essentials master the basics of data analysis in r including vectors lists and data frames and practice r with real data sets start learning r for free grow your data skills with datacamp for mobile make progress on the go with 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