how many are in each group per treatment in r

How to get the maximum and minimum of each group in R?

 · Often you may be interested in counting the number of observations by group in R. . Fortunately this is easy to do using the count() function from the dplyr library.. This tutorial explains several examples of how to use this function in practice using the following data frame:

How to calculate the mean by group in R?

 · The following code shows how to find the count and the unique count by group in R: ... #find 90th percentile of mpg for each cylinder group mtcars %>% group_by (cyl) %>% summarize (quant90 = quantile(mpg, probs = .9)) # A tibble: 3 x 2 cyl quant90 1 4 32.4 2 6 21.2 3 8 18.3 Additional Resources. You can find ...

How to count observations by group in R?

More count by group options. There are other useful ways to group and count in R, including base R, dplyr, and data.table. Base R has the xtabs () function specifically for this task. Note the ...

How do I Group and summarize data in R?

To count number of rows in df_data grouped by MONTH-YEAR column, you can use: > summary (df_data$`MONTH-YEAR`) FEB.2012 JAN.2012 MAR.2012 2 2 1. summary function will create a table from the factor argument, then create a vector …

Install & Load the dplyr Package

Before you can use the functions in the dplyr package, you must first load the package:

Example 1: Find Mean & Median by Group

The following code shows how to calculate measures of central tendency by group including the mean and the median:

Example 2: Find Measures of Spread by Group

The following code shows how to calculate measures of dispersion by group including the standard deviation, interquartile range, and median absolute deviation:

Example 3: Find Count by Group

The following code shows how to find the count and the unique count by group in R:

Example 4: Find Percentile by Group

The following code shows how to find the 90th percentile of values for mpg by cylinder group:

What is a Vtree package?

The vtree package generates graphics for crosstabs as opposed to graphs. Running the main vtree () function on one variable, such as

What are the plot types in ggplot2?

PlotXTabs2 () has a couple of dozen argument options, including title, caption, legends, color scheme, and one of four plot types: side, stack, mosaic, or percent . There are also options familiar to ggplot2 users, such as ggtheme and palette. You can see more details in the function’s help file.

How many columns are there in a survey?

The data has one row for each survey response, and the four columns are all characters.

Can you swap colors in RColorBrewer?

I’m not keen on the color defaults here, but you can swap in an RColorBrewer palette. vtree’s palette argument uses palette numbers, not names; you can see how they’re numbered in the vtree package documentation. I could choose 3 for Greens and 5 for Purples, for example. Unfortunately, those defaults give you a more intense color for lower count numbers, which doesn’t always make sense (and doesn’t work well for me in this example). I can change that default behavior with sortfill = TRUE to use the more intense color for the higher value.

Can you add more than two categories to a tree?

You can add more than two categories, although it gets a bit harder to read and follow as the tree grows. If you’re only interested in some of the branches, you can specify which to display with the keep argument. Below, I set vtree () to show only people who use R without Python or who use both R and Python.

Method 1: Calculate Mean by Group Using Base R

The following code shows how to use the aggregate () function from base R to calculate the mean points scored by team in the following data frame:

Method 3: Calculate Mean by Group Using data.table

The following code shows how to calculate the mean points scored by team in the following data frame: