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Reordering groups in a ggplot2 chart can be a struggle. This is due to the fact that ggplot2 takes into account the order of the factor levels, not the order you observe in your data frame. You can sort your input data frame with sort() or arrange(), it will never have any impact on your ggplot2 output. Create line plots. In the graphs below, line types, colors and sizes are the same for the two groups : ggplot(data=df2, aes(x=dose, y=len, group=supp)) + geom_line()+ geom_point() ggplot(data=df2, aes(x=dose, y=len, group=supp)) + geom_line(linetype="dashed", color="blue", size=1.2)+ geom_point(color="red", size=3) There are two types of bar charts: geom_bar() and geom_col(). geom_bar() makes the height of the bar proportional to the number of cases in each group (or if the weight aesthetic is supplied, the sum of the weights). If you want the heights of the bars to represent values in the data, use geom_col() instead. geom_bar() uses stat_count() by default: it counts the number of cases at each x ... Bubble plot with ggplot2 This post explains how to build a bubble chart with R and ggplot2 . It provides several reproducible examples with explanation and R code. Often, we do not want just some ordering, we want to order by frequency, the most frequent bar coming first. This can be achieved in this way. This can be achieved in this way. ggplot ( tips2 , aes ( x = reorder ( day , - perc ), y = perc )) + geom_bar ( stat = "identity" ) library (ggplot2) # Loads the ggplot2 library mtcars $ gear <-factor (mtcars $ gear) # Converts the gear variable into a factor mtcars $ cyl <-factor (mtcars $ cyl) # Converts the cyl variable into a factor stacked.bar2 <-ggplot (data = mtcars, aes ( x = gear, fill = cyl)) + geom_bar + xlab ("Gears") + ggtitle ("Number of Cars by Gear") + scale ... May 18, 2018 · I am trying to change the "height" and "width" of my plot and while I have changed the plot margins I would like to change the background to be proportionate with my plot. This is what my current plot looks like: And I want it to look more like this: I've added the background to so it's easier to see what I mean. Ultimatley, I just want my plot to be wider than it is tall, and I would like if ... This post explains how to build a basic connected scatterplot with R and ggplot2. It provides several reproducible examples with explanation and R code. library (ggplot2) # plot the age distribution using a histogram ggplot (Marriage, aes (x = age)) + geom_histogram + labs (title = "Participants by age", x = "Age") Figure 3.15: Basic histogram Most participants appear to be in their early 20’s with another group in their 40’s, and a much smaller group in their later sixties and early seventies. geom_count is a way to plot two variables that are not continuous. Here's a modified version of the nycflights13 dataset that comes with R; it shows 2013 domestic flights leaving New York's three airports. This graph maps two categorical variables: which of America's major airports it was headed to, and which major carrier was operating it. Create line plots. In the graphs below, line types, colors and sizes are the same for the two groups : ggplot(data=df2, aes(x=dose, y=len, group=supp)) + geom_line()+ geom_point() ggplot(data=df2, aes(x=dose, y=len, group=supp)) + geom_line(linetype="dashed", color="blue", size=1.2)+ geom_point(color="red", size=3) This article describes R functions for changing ggplot axis limits (or scales).We’ll describe how to specify the minimum and the maximum values of axes. Among the different functions available in ggplot2 for setting the axis range, the coord_cartesian() function is the most preferred, because it zoom the plot without clipping the data.