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string manipulation in R 1

String Manipulation in R

String Manipulation in R, In this article, we’ll show you how to manipulate strings in the R programming language using many methods. To begin, we’ll read text from a file into the computer to...

plot-observed-and-predicted-values-in-r 0

How to Plot Observed and Predicted values in R

Plot Observed and Predicted values in R, In order to visualize the discrepancies between the predicted and actual values, you may want to plot the predicted values of a regression model in R. This...

error No CurrentVersion entry in Software JavaSoft registry 2

error: No CurrentVersion entry in Software/JavaSoft registry!

error: No CurrentVersion entry in Software/JavaSoft registry!. When receiving the following problem while trying to install package xlxs in R. Error: package or namespace load failed for ‘xlsx’: .onLoad failed in loadNamespace() for ‘rJava’,...

What's neural network 0

What is neural network in machine learning?

what is neural network in machine learning?. A neural network is a biologically inspired method for computers to learn through analyzing data. what is neural network in machine learning & when does a neural...

Cross Validation in R 0

Cross Validation in R with Example

What Does Cross-Validation Mean? Cross-validation is a statistical approach for determining how well the results of a statistical investigation generalize to a different data set. Cross-validation is commonly employed in situations where the goal...

Regression Analysis Example 0

Regression Analysis Example-Ultimate Guide

Regression Analysis Example, In a recent article, we discussed model fitting and selection. However, we haven’t considered how we’ll choose which variables to include in our model. Simple Linear Regression in r » Guide...

free data science course 0

Importance of Statistical Analysis in Business

Statistical Analysis in Business, Businesses cannot survive without consumer spending. Statistical analysis can help businesses identify trends among consumers so they can better meet their needs. It is no secret that statistical analysis is...

Model Selection in R 0

Model Selection in R (AIC Vs BIC)

Model Selection in R, Let’s look at a linear regression model using mtcars dataset. First, we need to brush up on our knowledge by looking at the mtcars dataset. head(mtcars) M mpg cyl disp...

AIC in R 0

AIC in R (AIC Vs BIC)

AIC in R, Always we are curious about how well a model explains the relationship between variables. We can utilize information criteria to determine how successful our model is at explaining relationships. AIC and...

Linear Discriminant Analysis 0

Simple Linear Regression in r

Simple linear regression in r, we want to create models to investigate and forecast the relationship between variables, and the most basic relationship that we can think of is a straight line. Let’s take...

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