Month: June 2019

How to plot p-values in R

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

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

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

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

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 …

How to generate Bar plots in R using ggpubr package

How to generate Bar plots in R using ggpubr package A bar plot is a graph that shows the distribution of a categorical variable by using bars to represent different levels of the categorical variable. It can be useful to compare the levels of the categorical variable and to see the relative frequencies of each …

How to generate Violin plots with box plots in R using ggpubr package

How to generate Violin plots with box plots in R using ggpubr package A Violin plot is a combination of a boxplot and a kernel density plot, which shows the distribution of a set of continuous data. It can be useful to visualize the spread and skewness of the data and to identify outliers. In …

How to generate Violin plots in R using ggpubr package

How to generate Violin plots in R using ggpubr package A Violin plot is a combination of a boxplot and a kernel density plot, which shows the distribution of a set of continuous data. It can be useful to visualize the spread and skewness of the data and to identify outliers. In R, there are …

How to generate Boxplots in R using ggpubr package

How to generate Boxplots in R using ggpubr package A Boxplot, also known as a Whisker plot, is a standardized way of displaying the distribution of data based on five number summary (“minimum”, first quartile (Q1), median, third quartile (Q3), and “maximum”). It can be useful to visualize the spread and skewness of the data …

How to generate histograms in R using ggpubr package

How to generate histograms in R using ggpubr package A histogram is a graph that shows the distribution of a set of continuous data by dividing the data into a series of bins and counting the number of data points that fall into each bin. In R, there are several ways to generate histograms, and …