Publications by finnstats
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 has a structural break at some point. Correlation Analysis in R? » Karl Pearson correlation coefficient » The basic steps are as follows: Run all ...
2670 sym R (633 sym/7 pcs) 2 img
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 two sets of data are. Subscribe The Jaccard Index is a statistical measure that is frequently used to compare the similarity of binary variable sets. It is the le...
2487 sym R (1626 sym/8 pcs)
Homoscedasticity in Regression Analysis
finnstats can help you improve your data abilities and advance your profession. 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 also known as a two-group ...
4676 sym R (1067 sym/5 pcs) 1 tbl
Calculate Confidence Intervals in R
Recommended to read most recent job openings and UpToDate tutorials from finnstats 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 statistics. They provide an interval likely to include the ...
6113 sym R (1431 sym/20 pcs)
Calculate Polychoric Correlation in R
Recommended to read most recent job openings and UpToDate tutorials from finnstats Calculate Polychoric Correlation in R, The correlation between ordinal variables is calculated using polychoric correlation. Remember that ordinal variables are categorical possible values and natural order. Some of the common scales measured on an ordinal scale me...
3397 sym R (592 sym/6 pcs)
How to Perform Univariate Analysis in R
Recommended to read most recent job openings and UpToDate tutorials from finnstats 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. Subscribe The term “univariate analysis” refers to a single-...
4327 sym R (379 sym/10 pcs) 6 img
Aesthetics must be either length 1 or the same as the data
Visit for the most up-to-date information on Data Science, employment, and tutorials finnstats. If you want to read the original article, go here Aesthetics must be either length 1 or the same as the data Error: Aesthetics must be either length 1 or the same as the data, In this article, you’ll discover how to fix the R programming language err...
2793 sym R (473 sym/5 pcs) 2 img
Error in apply: dim(X) must have a positive length
Visit for the most up-to-date information on Data Science, employment, and tutorials finnstats. If you want to read the original article, go here Error in apply: dim(X) must have a positive length Error in apply(data$x, 2, mean): dim(X) must have a positive length, In this post, you’ll discover how to prevent the R programming error. When you t...
2829 sym R (330 sym/6 pcs) 2 img
How to Calculate the Standard Error of the Mean in R
Visit for the most up-to-date information on Data Science, employment, and tutorials finnstats. If you want to read the original article, go here How to Calculate the Standard Error of the Mean in R Standard Error of the Mean in R, A method for calculating the standard deviation of a sampling distribution is the standard error of the mean. The st...
3760 sym R (331 sym/11 pcs)
How to Generate Kernel Density Plots in R
finnstats:-For the latest Data Science, jobs and UpToDate tutorials visit finnstats Kernel Density Plots in R, we’ll look at how to make kernel density graphs in the R in this article. The user merely needs to utilize the density() function, which is an R language built-in function. A kernel density plot is a form of a graph that uses a single ...
3002 sym R (1143 sym/14 pcs) 12 img