## 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...

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# Category: Methods

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Intraday Stock Trading in R

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Significance of Spearman’s Rank Correlation

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Normality Test in R

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How to do data reshape in R?

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Correlation Analysis in R?

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Random Forest Classification Model in R

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Random Forest Model in R

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Contingency Table in R

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Discriminant Analysis in R

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paired t test tabled value vs p-value

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...

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:-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...

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? In correlation analysis, we estimate a sample correlation coefficient based on experimental data, in most cases the Pearson Product Moment correlation coefficient is used to find the relationships. The sample...

Why Random Forest classification Model in R? Random forest regression model getting model accuracy is very difficult in some cases, the alternative is to increase the number of data points but in some cases...

The random forest model in R is a highly useful tool in analyzing predicted outcomes for a classification or regression model. The main idea is how explanatory variables will impact the dependent variable. In...

Contingency Table in R, In the test hypothesis, it is usually assumed sample drawn from a known distribution like binomial, Poisson, normal, etc…It is an assumption but good to check our assumption holds true...

Discrimination tests are more important in sensory analysis. The main idea behind sensory discrimination analysis is to identify any significant difference or not.

Here are the details of different types of discrimination methods and p-value calculations based on different protocols/methods.

This article will discuss different types of methods and discriminant analysis in r.

When do you use paired t-test and how to apply the same in a practical situation? In this article, we will talk about paired t-test analysis calculation based on a mathematical formula and using...