Ggplot(df, aes(x=weight, color=sex, fill=sex)) + Labs(title='Weight histogram plot',x='Weight(kg)', y = 'Count')+ Geom_vline(aes(xintercept=mean(weight)), color='blue', Geom_histogram(fill='white', color='black')+ P + scale_color_grey()+scale_fill_grey() +Д¬ustomized histogram plots # Basic histogram scale_fill_grey() : to use grey color palettes.scale_fill_brewer() : to use color palettes from RColorBrewer package.scale_fill_manual() : to use custom colors.It is also possible to change manually histogram plot fill colors using the functions : P+geom_vline(data=mu, aes(xintercept=grp.mean, color=sex), Geom_histogram(position='identity', alpha=0.5) P<-ggplot(df, aes(x=weight, fill=sex, color=sex)) +

Ggplot(df, aes(x=weight, fill=sex, color=sex)) + Histogram plot fill colors can be automatically controlled by the levels of sex : # Change histogram plot fill colors by groups Read more on ggplot2 colors here : ggplot2 colors P + scale_color_grey() + theme_classic() + scale_color_grey() : to use grey color palettes.scale_color_brewer() : to use color palettes from RColorBrewer package.scale_color_manual() : to use custom colors.It is also possible to change manually histogram plot line colors using the functions : Geom_vline(data=mu, aes(xintercept=grp.mean, color=sex), P<-ggplot(df, aes(x=weight, color=sex)) + Geom_histogram(fill='white', position='dodge')+ Geom_histogram(fill='white', alpha=0.5, position='identity') # Change histogram plot line colors by groups Possible values for the argument position are вЂњidentityвЂќ, вЂњstackвЂќ, вЂњdodgeвЂќ. Note that, you can change the position adjustment to use for overlapping points on the layer. Note that this changes the labels in the graph itself.Histogram plot line colors can be automatically controlled by the levels of the variable sex. Select all ages under the age group's label in the right table. You can tidy up the age interval labels by putting in more appropriate age ranges such as 0-5, 6-12.A graph is generated in a new worksheet showing the age of the residents in Buccleuch Place in 1881.It is important not to make any changes in the Excel workbook while the results are being written. It may take some time because it uses AppleScript. StatPlus:mac shows a progress indicator while results are being written to the Excel workbook.Make sure the box 'Labels in first row' is selected so that the description in the top cell is used as a label.Click on StatPlus:mac in the dock to return to the Histogram dialogue.In the spreadsheet drag down from the age classes column selecting the title and all data in the column.Click on the button to right of the Bin Range field.From the Statistics menu select Basic Statistics and Tables > Histogram.Click on the StatPlus:mac icon in the dock to activate StatPlus:mac.Use the upper limits of your range to create a separate column with bin values of 5, 13, 45, 64 and 75.In our example, ages of the residents, these might be for example for small children, less than 5 of those aged 6 to 13 14 to 45 46 to 64 and those older than that, 65 and above. So, it is recommended that you create your own bins or data intervals.Д¬hoose some meaningful intervals. However, these intervals may have little relation to your data or the type of analysis you are undertaking. If you omit the bin range the histogram tool creates a set of evenly distributed values. How do we do this in a spreadsheet?ДЇirst we must define the intervals between the data that we want to appear on the histogram itself. For example the age distribution of residents in a street can be visualised using a histogram. A histogram is a bar chart in which the heights of the bars represent the frequencies of a set of values or classes.

Statplus histogram