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#R studio commands to make a bar graph how to
#R studio commands to make a bar graph code
#R studio commands to make a bar graph plus

#R studio commands to make a bar graph plus

Load the package and start typing easy_ plus something you’re looking for, like y_axis, and you’ll see a drop-down menu of function choices in RStudio. ggeasy offers a user-friendly way to tweak things like axis text.

#R studio commands to make a bar graph code

To make code potentially even simpler, you can combine gg charts with the gg easy package. Ggcharts faceting is simple using the facet argument. If you want to change the highlight color, you can use the highlight_spec() function to define what values get highlighted, the highlight color, and the non-highlight color, such as: spec % filter(year >= max(year) - 3) %>% lollipop_chart(x = company, y = revenue, top_n = 10, facet = year, highlight = c("Merck & Co.", "Pfizer")) Sharon Machlis Graph with highest value highlighted, created with the ggcharts R package. Should all x with y % slice_max(HighTemp) %>% pull(Day) column_chart(bos_high_temps, x = Day, y = HighTemp, sort = FALSE, highlight = maxday ) Sharon Machlis If a value for threshold is provided only records with y > threshold will be displayed. If a value for top_n is provided only the top top_n records will be displayed. Should the plot be oriented horizontally? Should the data be sorted before plotting? One or more value(s) of x that should be highlighted in the plot.

facet: Character or factor column of data defining the faceting groups.

If missing, the bar length will be proportional to the count of each value in x.

y: Numeric column of data representing the bar length.

data: Dataset to use for the bar chart.

, bar_color = "auto", highlight = NULL, sort = NULL, horizontal = FALSE, top_n = NULL, threshold = NULL, limit = NULL ) ggcharts arguments It’s easy to look up the options for functions like column_chart() by running a typical R help command such as ?column_chart. With ggcharts, if you don’t want to sort by y value, just use the argument sort = FALSE: column_chart(bos_high_temps, x = Day, y = HighTemp, sort = FALSE) (To do that with ggplot2, you usually need to reorder your x values by your y value, such as aes(x=reorder(myxcolname, -myycolname), y=myycolname)).)

A lot of times that is exactly what you want. For example, the ggcharts bar graph default assumes you want to sort the results by y value (as opposed to keeping the x-axis in a specific order).

I find some basic tweaks a bit easier and more intuitive in ggcharts than in ggplot2 (although they’re much more limited). ggcharts is not an option for visualizations like scatterplots or box plots, at least not yet. ggcharts currently has functions to make bar charts (horizontal, vertical, or diverging), lollipop (including diverging) charts, line graphs, dumbells, and pyramids. That can give you the best of both worlds-as long as you’re making one of the half dozen or so types of visualizations included in the package. And that means you can add ggplot customization code if you want to tweak your results later on. However, the R objects you create with ggcharts are also ggplot objects. It does a very small subset of what ggplot is capable of. Ggcharts is a wrapper package for ggplot2. I do recommend learning these skills if you regularly visualize data with tidyverse packages-ggplot knowledge is very useful! But for someone just starting out, or people who don’t generate plots very often, this may not be a high priority.

#R studio commands to make a bar graph how to

But these require you to already know how to do the customization. You can set up new ggplot2 defaults, create your own theme, or use RStudio code snippets. There are ways around having to write a lot of code to customize ggplot.