How to analyse and visualise Two-Samples-T-Test in R The Two-Sample T-Test is a statistical method that is used to determine whether the means of two different samples are different from each other. It is used to compare the means of two samples and to determine if there is a significant difference between them. In R, …
Correlation Matrix in R – How to visualise A correlation matrix is a table that shows the correlation between multiple variables. It is a powerful tool that helps to understand the relationship between different variables in a dataset. In R, there are several ways to create a correlation matrix, and one of them is by …
How to plot Descriptive Statistics in R Plotting descriptive statistics is a way of visualizing the characteristics of a data set, such as the mean, median, standard deviation, and frequency of observations. In R, there are several ways to plot descriptive statistics, and one of them is by using the base R functions and packages …
How to perform analysis using Descriptive Statistics in R Descriptive statistics is a branch of statistics that deals with summarizing and describing data. Descriptive statistics are used to describe and understand the characteristics of a data set, such as the mean, median, standard deviation, and frequency of observations. In R, there are several ways to …
How to do line and bar plot with mean and std in R A line and bar plot is a type of graph that is used to visualize the mean and standard deviation (std) of a set of data. Line plots are used to show trends over time, while bar plots are used to show …
How to plot p-values in R P-values are a commonly used statistical measure that helps to determine the strength of evidence against a null hypothesis. P-values are often used to determine whether a result is statistically significant or not. In R, there are several ways to plot p-values, and one of them is by using …
How to plot Mean and Std in R using ggpubr package Mean and standard deviation (std) are two commonly used statistics that provide information about the central tendency and spread of a set of data. Mean represents the average value of the data, while standard deviation describes how much the data deviates from the mean. …
How to plot p-values in R using ggpubr package P-values are a commonly used statistical measure that helps to determine the strength of evidence against a null hypothesis. P-values are often used to determine whether a result is statistically significant or not. In R, there are several ways to plot p-values, and one of them …
How to generate dot charts in R using ggpubr package A dot chart is a type of graph that shows the distribution of a set of continuous data by plotting individual observations as dots. It can be useful to visualize the distribution of the data and identify outliers. In R, there are several ways to …
How to generate deviation plots in R using ggpubr package Deviation plots are a type of graph that shows the deviation of multiple groups from a central value. It is useful for comparing the deviations of different groups from a common reference point. In R, there are several ways to generate deviation plots, and one …