Tagged: rstats

Time Series Trend Analysis 0

Time Series Trend Analysis in R

Time series trend analysis, The Mann-Kendall Pattern Test is used to detect whether or not time series data has a trend. It’s a non-parametric test, which means there’s no underlying assumption about the data’s...

How to calculate Scheffes Test in R 0

How to calculate Scheffe’s Test in R

How to calculate Scheffes Test in R, A one-way ANOVA is used to check if there is a statistically significant difference between the means of three or more independent groups. If the aggregate p-value...

Perform Univariate Analysis in R 0

How to Perform Univariate Analysis in R

Perform Univariate Analysis in R, In statistics, there are three different types of strategies for univariate data analysis. There are three types of analysis: univariate, bivariate, and multivariate. The term “univariate analysis” refers to...

Calculate Confidence Intervals in R 0

Calculate Confidence Intervals in R

Calculate Confidence Intervals in R, A confidence interval is a set of values that, with a high degree of certainty, are likely to include a population parameter. Confidence intervals can be found all over...

Homoscedasticity in Regression Analysis 0

Homoscedasticity in Regression Analysis

Homoscedasticity in Regression Analysis, The Goldfeld–Quandt test checks for homoscedasticity in regression studies in statistics. Subscribe This is accomplished by separating a dataset into two portions or groups, which is why the test is...

Jaccard Similarity in R 0

How to Calculate Jaccard Similarity in R

Jaccard Similarity in R, The Jaccard similarity index compares two sets of data to see how similar they are. It might be anywhere between 0 and 1. The greater the number, the closer the...

Chow Test in R 0

How to do Chow Test in R

The Chow test is used to compare the coefficients of two distinct regression models on two separate datasets. This test is commonly used in econometrics using time series data to evaluate if the data...

Rolling Correlation in R 0

How to perform Rolling Correlation in R

Rolling Correlation in R, Correlations between two-time series on a rolling window are known as rolling correlations. Correlations in time series are extremely valuable since they may be used to model and forecast if...

Anderson-Darling Test in R 0

Anderson-Darling Test in R (Quick Normality Check)

Anderson-Darling Test in R, The Anderson-Darling Test is a goodness-of-fit test that determines how well your data fits a given distribution. This test is most typically used to see if your data follow a...

Granger Causality Test in R 0

Granger Causality Test in R (with Example)

Granger-Causality Test in R, The Granger Causality test is used to examine if one time series may be used to forecast another. Subscribe to the Channel for video tutorials Null Hypothesis (H0): Time series...

error

Subscribe Now