For Data Science Learners
Hypothesis Testing in R, A formal statistical test called a hypothesis test is used to confirm or disprove a statistical hypothesis. The following R hypothesis tests are demonstrated in this course. Each type of test can be run using the R function t.test(). How to Create an Interaction Plot in R? – Data Science Tutorials…
Autocorrelation and Partial Autocorrelation in Time Series, The correlation between two observations made at various times throughout a time series is known as autocorrelation. For instance, there might be a significant positive or negative correlation between numbers that are separated by an interval. Rejection Region in Hypothesis Testing – Data Science Tutorials When these correlations…
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How to perform TBATS Model in R?, The term “TBATS” refers to a well-liked time series forecasting technique and stands for How to compare the performance of different algorithms in R? (datasciencetut.com) The following models can be used with and without this method The final model in this procedure will be the one with the…
How to Calculate Ratios in R? The following two techniques can be used in R to determine the ratio of values in two columns. The following data frame, which displays the total number of shots taken and attempted by different basketball players, is used to demonstrate how each strategy should be used in practice. Two-Way ANOVA…
How to do Pairwise Comparisons in R, To evaluate if there is a statistically significant difference between the means of three or more independent groups, a one-way ANOVA is utilized. The following null and alternate hypotheses are used in a one-way ANOVA. H0: All group means are equal. HA: Not all group means are equal….
How to put margins on tables or arrays in R?, I’ll show you how to use the addmargins function in the R programming language to add margins to tables or arrays in this post. Algorithm Classifications in Machine Learning – Data Science Tutorials The addmargins function will be used in the tutorial’s two examples to…
How to compare the performance of different algorithms in R?, Installing and loading the microbenchmark package into R is the first step. In addition, the ggplot2 package is used for visualization. install.packages(“microbenchmark”) library(“microbenchmark”) install.packages(“ggplot2”) library(“ggplot2”) Example 1: Microbenchmark Options We wish to examine the effectiveness of various methods for calculating the sum of a vector’s…
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Add Significance Level and Stars to Plot in R, In this article, I’ll show you how to use the R programming language’s ggsignif package to annotate a ggplot2 plot with significance levels. Boxplot with Stars for Significance The R programming language’s box-and-whisker plot with significance levels is demonstrated in the following R code. To do…
Cross-validation in Machine Learning, cross-validation is a word that everyone who works with machine learning techniques will come across at some point. We provide you with a quick overview of cross-validation in this blog post. How to convert characters from upper to lower case in R (datasciencetut.com) Data Validation Assume for the moment that your…
How to Analyze Likert Scale Data? The most popular technique for sizing replies in survey investigations is the use of Likert scales. The Likert scale is used in survey questions that ask you to rate your level of agreement, from strongly agree to strongly disagree. The worksheet contains data for two groups using a five-point…
