Data Analysis in R pdf tools & pdftk
Data analysis in r pdf tools & pdftk, there are multiple ways data can capture, one of the frequently used formats is pdfs. Data stored in pdf may be original or scanned forms also....
Category: R
Rank Order analysis in R
Rank Order analysis in R!. What is mean by rank data? Suppose we have k subjects and n number of volunteers, each volunteer asked to rank each subject. The outcome will come into the...
Intraday Stock Trading in R
Intraday Stock Trading in R, First, we need to understand what is mean by intraday? Intraday trading involves buying and selling stocks or shares within the same trading day. In intraday, stocks are purchased...
Significance of Spearman’s Rank Correlation
How can the significance of Spearman’s rank correlation be tested? Let us assume Ho:ρs=0 vs H1=ρs≠0 The test statistics is t=[rs*SQRT(n-2)] / SQRT(1- rs2) t has (n-2) degrees of freedom. The formula for rs...
Normality Test in R
Normality Test in R:-In statistics methods is classified into two like Parametric methods and Nonparametric methods. The majority of the test like correlation, regression, t-test, and analysis of variance (ANOVA) assume some certain characteristics about...
How to do data reshape in R?
What is mean by data reshaping? Data Reshaping in R is about changing the structure of the data into different formats. In R taking the input data as a data frame majority of the...
Correlation Analysis in R: Pearson Correlation with Significance Testing and Visualization
Correlation analysis is one of the most commonly used statistical techniques for measuring the strength and direction of the relationship between two continuous variables. It is widely applied in data science, finance, healthcare, marketing,...
Random Forest Classification Model in R
Random Forest is one of the most popular supervised machine learning algorithms for classification problems. It combines the predictions of multiple decision trees to produce a model that is generally more accurate, stable, and...
Random Forest Regression in R: Build, Tune, and Evaluate Predictive Models
Random Forest Regression is one of the most powerful machine learning techniques for predicting continuous numerical outcomes. It combines hundreds of decision trees to generate accurate and robust predictions while minimizing overfitting. Unlike traditional...
Contingency Table in R
A contingency table is one of the most widely used tools in statistics for analyzing the relationship between categorical variables. Whether you’re working in healthcare, finance, marketing, manufacturing, or social sciences, contingency tables help...