the sum of a logical vector returns the number of TRUE values.To answer our question above, we can use the following properties of logical vectors in R: Anytime we use R’s comparison operators ( >, >=, = 30 # FALSE TRUE FALSE TRUE TRUE TRUE FALSE Two Important Operations on Logical Vectors in R age = operator to find where values stored in the age vector are greater than or equal to the value 30. This data is stored in the age vector below. Imagine we have data from a survey we recently conducted where 7 people responded and provided their age. Special Properties of Logical Vectors in R This post will introduce the power of using logical vectors within your dplyr code to create complex data summaries with ease. A common data analysis technique, known as split-apply-combine, involves creating statistical summaries by groups within a data frame. Increase space on the right via theme(plot.Hadley Wickham’s dplyr package is an incredibly powerful R package for data analysis. □ Expand to see examples with labels next to the bars. You can make sure that labels are not truncated by the panel by adding clip = "off" to any coordinate system. Thus, I prefer to use the first approach. The drawback of using limits is that you have to define them manually. In case you want to put the next to the bars, you often need to adjust the plot margin and/or the limits to avoid that the labels are cut off. ggplot(mpg_sum, aes(x = n, y = manufacturer)) + We also add some negative horizontal adjustment via nudge_x = -.5 to add some spacing between the end of the bar and the label. To put the labels inside, we first need to right-align the labels with hjust = 1.
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