finnstatsHow to interpret regression results in RHow to interpret regression results in R?. The lm() utility in R can be used to fit a linear regression model. The summary() command can…Apr 20, 2022Apr 20, 2022
finnstatsOrdinary Least Squares Regression Alternative in ROrdinary Least Squares Regression Alternative in R, when there are outliers or influential observations in the dataset we’re dealing with…Apr 18, 2022Apr 18, 2022
finnstatsRandom forest machine learning IntroductionRandom forest machine learning, we frequently utilize non-linear approaches to represent the relationship between a collection of predictor…Feb 5, 2022Feb 5, 2022
finnstatsTime Series Trend Analysis in RTime series trend analysis, The Mann-Kendall Pattern Test is used to detect whether or not time series data has a trend. It’s a…Nov 28, 2021Nov 28, 2021
finnstatsHow to calculate Whites Test in RCalculate White’s Test in R, The White test is a statistical test that determines whether the variance of errors in a regression model is…Nov 22, 2021Nov 22, 2021
finnstatsGranger 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.Nov 8, 2021Nov 8, 2021
finnstatsString Manipulation in RIn this article, we’ll show you how to manipulate strings in the R programming language using many methods.Nov 6, 2021Nov 6, 2021
finnstatsRegression in R-Ultimate GuideRegression in R, In a recent article, we discussed model fitting and selection. However, we haven’t considered how we’ll choose which…Oct 30, 2021Oct 30, 2021
finnstatsAIC Vs BICAlways we are curious about how well a model explains the relationship between variables.Oct 27, 2021Oct 27, 2021
finnstatsDescriptive Statistics in RDescriptive Statistics in R, You’ll learn about descriptive statistics in this tutorial, which is one strategy you might employ in…Oct 21, 2021Oct 21, 2021