Rounding to Nearest 0 or 5 in gtsummary Output: A Step-by-Step Guide

Are you tired of dealing with decimal places in your gtsummary output? Do you want to make your data more readable and user-friendly? Look no further! In this article, we’ll show you how to round numbers to the nearest 0 or 5 in gtsummary output, making your data visualization and reporting a breeze.

Why Round to Nearest 0 or 5?

Rounding numbers to the nearest 0 or 5 can make your data more intuitive and easier to understand. For example, in medical research, it’s common to report lab results to the nearest 5 units (e.g., 12.3 becomes 10, and 17.8 becomes 20). This simplification can help researchers and clinicians quickly identify trends and patterns in the data.

In business and finance, rounding to the nearest 0 or 5 can also be useful for reporting sales figures, revenue, or profits. It can help present complex data in a more digestible format, making it easier for stakeholders to make informed decisions.

Getting Started with gtsummary

Before we dive into rounding numbers, let’s quickly go over the basics of gtsummary. gtsummary is an R package that provides a variety of tools for summarizing and reporting data. It’s particularly useful for creating tables and summaries that are easy to read and understand.

If you’re new to gtsummary, you can install it using the following code:

install.packages("gtsummary")

Once installed, you can load the package and start exploring its features:

library(gtsummary)

Rounding to Nearest 0 or 5 in gtsummary

Now that we have gtsummary up and running, let’s get to the main event – rounding numbers to the nearest 0 or 5! gtsummary provides several ways to achieve this, and we’ll cover a few different approaches.

Method 1: Using the `round()` Function

The most straightforward way to round numbers in gtsummary is by using the built-in `round()` function. Here’s an example:

library(gtsummary)

mtcars %>%
  select(mpg, cyl, disp) %>%
  tbl_summary(
    statistics = list(
      everything() ~ "{mean} ({sd})"
    )
  ) %>%
  add_overall() %>%
  modify_fmt_fun(list(
    mpg ~ "round(., 0)"
  ))

In this example, we’re using the `modify_fmt_fun()` function to apply the `round()` function to the `mpg` column. The `0` in `round(., 0)` specifies that we want to round to the nearest 0.

Method 2: Using the `sprintf()` Function

Another way to round numbers in gtsummary is by using the `sprintf()` function. This method is particularly useful when you need to format numbers with specific decimal places.

library(gtsummary)

mtcars %>%
  select(mpg, cyl, disp) %>%
  tbl_summary(
    statistics = list(
      everything() ~ "{mean} ({sd})"
    )
  ) %>%
  add_overall() %>%
  modify_fmt.fun(list(
    mpg ~ "sprintf('%.0f', .)"
  ))

In this example, we’re using the `sprintf()` function to format the `mpg` column with 0 decimal places. The `’%.0f’` format string specifies that we want to display the number as an integer with no decimal places.

Method 3: Using a Custom Function

If you need more control over the rounding process, you can create a custom function using R’s built-in `floor()` and `ceiling()` functions. Here’s an example:

round_to_nearest_05 <- function(x) {
  if (x %% 5 == 0) {
    return(x)
  } else {
    if (x %% 5 >= 2.5) {
      return(ceiling(x / 5) * 5)
    } else {
      return(floor(x / 5) * 5)
    }
  }
}

This custom function takes a number as input and rounds it to the nearest 0 or 5. You can then use this function in conjunction with `modify_fmt_fun()` to apply it to your gtsummary output:

library(gtsummary)

mtcars %>%
  select(mpg, cyl, disp) %>%
  tbl_summary(
    statistics = list(
      everything() ~ "{mean} ({sd})"
    )
  ) %>%
  add_overall() %>%
  modify_fmt.fun(list(
    mpg ~ "round_to_nearest_05(.)"
  ))

Common Scenarios and Solutions

Now that we’ve covered the basics of rounding numbers in gtsummary, let’s explore some common scenarios and solutions:

Scenario 1: Rounding Multiple Columns

If you need to round multiple columns in your gtsummary output, you can simply add more arguments to the `modify_fmt_fun()` function:

library(gtsummary)

mtcars %>%
  select(mpg, cyl, disp, hp) %>%
  tbl_summary(
    statistics = list(
      everything() ~ "{mean} ({sd})"
    )
  ) %>%
  add_overall() %>%
  modify_fmt.fun(list(
    mpg ~ "round_to_nearest_05(.)",
    cyl ~ "round_to_nearest_05(.)",
    disp ~ "round_to_nearest_05(.)",
    hp ~ "round_to_nearest_05(."
  ))

Scenario 2: Rounding to Nearest 10 or 20

If you need to round numbers to the nearest 10 or 20 instead of 0 or 5, you can modify the custom function we created earlier:

round_to_nearest_10 <- function(x) {
  if (x %% 10 == 0) {
    return(x)
  } else {
    if (x %% 10 >= 5) {
      return(ceiling(x / 10) * 10)
    } else {
      return(floor(x / 10) * 10)
    }
  }
}

round_to_nearest_20 <- function(x) {
  if (x %% 20 == 0) {
    return(x)
  } else {
    if (x %% 20 >= 10) {
      return(ceiling(x / 20) * 20)
    } else {
      return(floor(x / 20) * 20)
    }
  }
}

You can then use these custom functions in the same way as before:

library(gtsummary)

mtcars %>%
  select(mpg, cyl, disp) %>%
  tbl_summary(
    statistics = list(
      everything() ~ "{mean} ({sd})"
    )
  ) %>%
  add_overall() %>%
  modify_fmt.fun(list(
    mpg ~ "round_to_nearest_10(.)",
    cyl ~ "round_to_nearest_20(.)"
  ))

Conclusion

Rounding numbers to the nearest 0 or 5 in gtsummary output is a simple yet powerful way to make your data more readable and user-friendly. By using the `round()` function, `sprintf()` function, or a custom function, you can achieve this goal with ease. In this article, we’ve covered the basics of gtsummary, as well as several methods for rounding numbers to the nearest 0 or 5. We’ve also explored common scenarios and solutions to help you overcome any challenges you may encounter.

With these techniques in your toolkit, you’ll be well on your way to creating stunning gtsummary outputs that will impress your colleagues and stakeholders. Happy summarizing!

Method	Code	Description
Using `round()` function	`modify_fmt_fun(list(mpg ~ “round(., 0)”))`	Rounds numbers to the nearest 0
Using `sprintf()` function	`modify_fmt.fun(list(mpg ~ “sprintf(‘%.0f’, .)”))`	Rounds numbers to the nearest 0 with 0 decimal places
Using a custom function	`round_to_nearest_05 <- function(x) {…}; modify_fmt.fun(list(mpg ~ “round_to_ne Frequently Asked Questions Get the scoop on rounding to the nearest 0 or 5 in gtsummary output tables! What is the purpose of rounding to the nearest 0 or 5 in gtsummary output tables? Rounding to the nearest 0 or 5 in gtsummary output tables is a way to simplify the presentation of numerical data. It helps to reduce clutter and make the data more readable, especially when working with large datasets. By rounding to the nearest 0 or 5, you can quickly identify patterns and trends in the data without getting bogged down in minor details. How do I specify the rounding option in gtsummary? To round to the nearest 0 or 5 in gtsummary, you can use the `digits` argument within the `tbl_summary()` function. For example, if you want to round to the nearest 0 or 5, you can set `digits = c(0, 5)`. This will apply the rounding option to all numerical columns in the summary table. Can I round different columns to different levels of precision? Yes, you can specify different rounding options for different columns in the summary table. To do this, you can use the `digits` argument in combination with the `include` argument. For example, if you want to round column A to the nearest 0 or 5, but column B to two decimal places, you can use `tbl_summary(digits = list(A = c(0, 5), B = 2))`. This gives you fine-grained control over the rounding options for each column. Does rounding to the nearest 0 or 5 affect the accuracy of my data? Rounding to the nearest 0 or 5 can introduce some level of error into your data, especially if you’re working with very precise measurements. However, in many cases, the benefits of simplified presentation outweigh the costs of minor accuracy loss. If you need to maintain high precision, you can always access the original, unrounded data in your dataset. Are there any other customization options for gtsummary output tables? Yes, gtsummary offers a wide range of customization options for output tables. You can modify the appearance of the table, add or remove columns, change the formatting of numerical data, and more. Check out the gtsummary documentation for a comprehensive list of options and examples. Share this: Related posts: Forcing a Multiple Regression Model’s Coefficient to be Positive: A Step-by-Step Guide Unlocking Supabase SQL: Granting Company Owners Unfettered Access to Employee Data while Limiting Employee Visibility How can I dynamically display data in a column based on its columns? Add Comment Exit mobile version