Publications by finnstats
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 integral to any business. Statistical analysis refers to the use of mathematical and statistical method...
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Regression in R-Ultimate Guide
Regression in R, 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 » Let’s go over our linear regression model for the mtcars data.frame again. Regression in R mtcars.lm <- lm(mpg ~ disp, data=mtcars)...
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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 is prediction and the accuracy of a predictive model’s performance must be estimated. We explored d...
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What’s Neural Network?
What’s Neural Network?. A neural network is a biologically inspired method for computers to learn through analyzing data. When does a neural network become a deep neural network? Here’s a neural network, and it’s not particularly deep!. Although it just has three layers, the term “deep” usually refers to dozens, if not hundreds, of t...
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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', details: call: fun(libname, pkgname) error: No CurrentVersion entry in Software/JavaSoft regist...
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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 tutorial demonstrates how to make this style of the plot using R and ggplot2. Approach 1: Plot of observed and predicted values in Base R The following...
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String Manipulation in R
String Manipulation in R, In this article, we’ll show you how to manipulate strings in the R programming language using many methods. To begin, we’ll read text from a file into the computer to demonstrate the string operations. data<-readLines("D:/RStudio/Binning/TextData.txt") head(data) The “data” variable will have a vector with five e...
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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. Null Hypothesis (H0): Time series X does not cause time series Y to Granger-cause itself. Alternative Hypothesis (H1): Time series X cause time series Y to Granger-cause itself. Knowing the value of a time series X at a...
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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 normal distribution or not. This sort of test can be used to check for normality, which is a common assumption in many statistical tests such a...
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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 a relationship exists. But there’s a catch: a correlation isn’t static! It evolves over time. The rolling correlation is one of...
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