Category: Methods

add calculated variables in R 0

How to add calculated variables in 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 R 0

How to Interpolate Missing Values in R With Example

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...

Weighted Standard Deviation in R 0

Weighted Standard Deviation in R With Example

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...

Curve fitting in R 0

Curve fitting in R Quick Guide

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 0

68 95 99 Rule in R

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 0

Difference between glm and lm in R

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...

draw grouped barplot in r 0

How to Draw Grouped Barplot in R

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...

how to join objects in r with example 0

How to Join Objects in R

In R, the cat() function can be used to concatenate several objects. The following is the fundamental syntax for this function: cat(…, file = “”, sep = ” “, append = FALSE)) where: …:...

Age structure diagram in R 2

Age structure diagram in R

Age structure diagram also known as a population pyramid, A population pyramid is a graph that depicts a population’s age and gender distribution. It’s a helpful chart for quickly grasping a population’s makeup as...

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