So keep on reading!Įxample 1: Drawing Grouped Barchart Using Base R The following examples show three different alternatives on how to draw grouped barplots in R. The variable values contains the height of our bars, the variable group defines three different groups, and the variable subgroup divides each of our three main groups into two subgroups A and B. It shows that our example data has six rows and three columns. Have a look at the previous output of the RStudio console. frame (values = c ( 4, 1, 3, 6, 7, 3 ), # Create example data group = rep (c ( "group 1",ĭata # Print example data # values group subgroup # 1 4 group 1 A # 2 1 group 1 B # 3 3 group 2 A # 4 6 group 2 B # 5 7 group 3 A # 6 3 group 3 Bĭata <- ame(values = c(4, 1, 3, 6, 7, 3), # Create example data It might be useful to treat these values as equal categories when making a graph.Data <- data. In this data set, the dose is a numeric variable with values 0.5, 1.0, and 2.0. When the variable on the x-axis is numeric, it is sometimes useful to treat it as continuous, and sometimes useful to treat it as categorical. In the line graph, the reason that the legend title, “Sex of payer”, must be specified three times is so that there is only one legend. Theme_bw () + theme ( legend.position = c (. Scale_linetype_discrete ( name = "Sex of payer" ) + xlab ( "Time of day" ) + ylab ( "Total bill" ) + # Set axis labels Scale_shape_manual ( name = "Sex of payer", values = c ( 22, 21 )) + # Use points with a fill color L = 30 ) + # Use darker colors (lightness=30) Scale_colour_hue ( name = "Sex of payer", # Set legend title Geom_point ( size = 3, fill = "white" ) + # Use larger points, fill with whiteĮxpand_limits ( y = 0 ) + # Set y range to include 0 Ggplot ( data = dat1, aes ( x = time, y = total_bill, group = sex, shape = sex, colour = sex )) + geom_line ( aes ( linetype = sex ), size = 1 ) + # Set linetype by sex Ggtitle ( "Average bill for 2 people" ) + # Set title Xlab ( "Time of day" ) + ylab ( "Total bill" ) + # Set axis labels Scale_fill_hue ( name = "Sex of payer" ) + # Set legend title Ggplot ( data = dat1, aes ( x = time, y = total_bill, fill = sex )) + geom_bar ( colour = "black", stat = "identity", position = position_dodge (), size =. Here is some sample data (derived from the tips dataset in the reshape2 package): In ggplot2, the default is to use stat_bin, so that the bar height represents the count of cases. This is done with stat_identity, which leaves the y values unchanged. The value of a column in the data set.This is done with stat_bin, which calculates the number of cases in each group (if x is discrete, then each x value is a group if x is continuous, then all the data is automatically in one group, unless you specifiy grouping with group=xx). The count of cases for each group – typically, each x value represents one group.With bar graphs, there are two different things that the heights of bars commonly represent: If your data needs to be restructured, see this page for more information. To make graphs with ggplot2, the data must be in a data frame, and in “long” (as opposed to wide) format. You want to do make basic bar or line graphs.
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