Area Under Curve in R (AUC)
Area Under Curve in R, when the response variable is binary, we utilize logistic regression as a statistical method to fit a regression model. Area Under Curve in R The following two metrics can...
Category: R
R Summary Statistics Table
R Summary Statistics Table, The describe() and describeBy() methods from the psych package are the simplest way to produce summary tables in R. library(psych) The syntax for the summary table tidyverse in r –...
Group wise Correlation in R
Group-wise Correlation in R, To calculate the correlation between two variables by the group in R, use the basic syntax below. library(dplyr) df %>% group_by(group) %>% summarize(cor=cor(var1, var2)) This syntax computes the...
String pad to the column in R
Need to format your character columns for cleaner output or reporting? In R, string padding allows you to add characters like “#” to the left, right, or both sides of a string. Whether it’s...
Bootstrap Confidence Interval R
Bootstrap Confidence Interval R, Bootstrapping is a technique for estimating the standard error of any statistic and generating a confidence interval for it. The following is the fundamental bootstrapping procedure, From a given dataset,...
How to remove Scientific Notation in R
How to remove Scientific Notation in R, To disable scientific notation in R, use the following methods: The examples below demonstrate how to utilize each of these strategies in practice. Method 1: As a...
How to Add Text to a Plot in R
In base R, the text() function can be used to add text to a plot. The following is the fundamental syntax for this function text(x, y, “my text”) where: x, y: The text should...
How to calculate proportion in a table
Calculate proportion in a table, To determine the value of each cell in a table as a proportion of all values, use the prop.table() function in R. The following is the fundamental syntax for...
How to Calculate a Bootstrap Standard Error in R
Bootstrap Standard Error in R, Bootstrapping is a technique for calculating the standard error of a mean. The following is the basic procedure for calculating a bootstrapped standard error. Model Selection in Machine Learning...
Confidence Intervals Explained
A confidence interval (CI) is a set of numbers that most likely contains the value of an unknown population parameter. Given the properties of your sample data, these intervals represent a realistic domain for...
