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...
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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 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 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-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...
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 (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 (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...
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...
Analysis of Variance in R: 3 Steps
Analysis of Variance in R, You will be able to identify reasons for employing an Analysis of Variance (or ANOVA) test in your data analysis after completing this tutorial. You’ll also learn how to...