Table of Contents

## What is summarySE R?

summarySE() is a custom function that computes the mean, standard deviation, count, standard error, confidence interval for a variable (“measurevar”) within defined grouping variables (“groupvars”).

**What package is summarySE in R?**

One of my favorite packages is Rmisc. The package includes the summarySE function which I use on a daily basis. The function provides a concise way to get a data frame with mean and standard errors of the mean.

**What package is summarySE?**

SummarySE (Rmisc package) to produce a barplot with error bars (ggplot2)

### What does the summarySE () function do?

summarySE: Summarizes data Gives count, mean, standard deviation, standard error of the mean, and confidence interval (default 95%).

**How do I add a confidence interval in ggplot2?**

ggplot2 provides the geom_smooth() function that allows to add the linear trend and the confidence interval around it if needed (option se=TRUE ). Note:: the method argument allows to apply different smoothing method like glm, loess and more.

**What is describe function in R?**

When using describe in r, the describe function has the form of describe(dataset), where “dataset” is the data set being described. The function accepts any data type including missing data. It produces a contingency table supplying information about the data set.

#### How does Group_by work in R?

group_by: Group by one or more variables group_by() takes an existing tbl and converts it into a grouped tbl where operations are performed “by group”. ungroup() removes grouping.

**What does N () do in R?**

The function n() returns the number of observations in a current group.

**How do I use the summary () function in R?**

The summary () function in R can be used to quickly summarize the values in a vector, data frame, regression model, or ANOVA model in R. This syntax uses the following basic syntax: The following examples show how to use this function in practice.

## What data does summaryse provide?

summarySE provides the standard deviation, standard error of the mean, and a (default 95%) confidence interval

**How to quickly summarize the values in a vector in R?**

The summary () function in R can be used to quickly summarize the values in a vector, data frame, regression model, or ANOVA model in R. This syntax uses the following basic syntax:

**How to summarize iris data set based on groups in R?**

Let’s store the iris data set into new variable say df for summarize in r. Let’s create mean and sd of Sepal Length. Now we try to summarize based on groups. You can make use of pipe operator for summarising the data set. Pipe operator comes under magrittr package. Let’s load the package.