Tagged: R

Add calculated variables in R, To add new calculated variables to a data frame and remove all old variables, use the transmute() function in R. The following is the fundamental syntax for this function....

How to Interpolate Missing Values, In today’s world, data comes from a variety of places, is collected through numerous streams, and is then evaluated using a variety of methodologies. In this article, we’ve discussed...

When some values in a dataset have higher weights than others, the weighted standard deviation is a handy technique to measure the dispersion of those values. To calculate a weighted standard deviation, use the...

Change Legend Position in R, The purpose of this article is to demonstrate how to use R statistical software to add legends to charts. Change Legend Position in R In base R plots, there...

Curve fitting in R, In this post, we’ll look at how to use the R programming language to fit a curve to a data frame. One of the most basic aspects of statistical analysis...

68 95 99 Rule in R, The Empirical Rule, often known as the 68-95-99.7 rule, states that assuming a normal distribution dataset: Within one standard deviation of the mean, 68 percent of data values...

Difference between glm and lm in R, In R, how do you tell the difference between lm and glm? When building intervals in lm, the t-distribution is used, but in glm, the normal distribution...

When a variable has a few values, a frequency table, which may be displayed using a bar chart or barplot in R, is commonly used to summarise the data. We’ll go over the fundamentals...