Articles by finnstats

Draw a trend line using ggplot-Quick Guide

September 19, 2021 | finnstats

Draw a trend line using ggplot, Technical analysts utilize the trendline as one of their most significant tools. A trendline aids technical analysts in determining the data set direction. The post Draw a trend line using ggplot-Quick Guide appeared first on finnstats.
[Read more...]

How to Identify Outliers-Grubbs’ Test in R

September 15, 2021 | finnstats

How to Identify Outliers, The Grubbs’ Technique is a statistical test that may be used to detect outliers in a dataset. A dataset should be generally normally distributed and have at least 7 observations... The post How to Identify Outliers-Grubbs’ Test in R appeared first on finnstats. [Read more...]

Ogive curve in R

September 14, 2021 | finnstats

Ogive curve in R, It is a graph plotted for the variate values and their corresponding cumulative frequencies of a frequency distribution. The sum of all preceding frequencies up to this point is referred... The post Ogive curve in R appeared first on finnstats.
[Read more...]

Binomial Distribution in R-Quick Guide

September 11, 2021 | finnstats

Binomial Distribution in R, Binomial distribution was invented by  James Bernoulli which was posthumously published in 1713. Let n ( finite) Bernoulli trials be conducted with probability “p” of success and “q” of a... The post Binomial Distribution in R-Quick Guide appeared first on finnstats.
[Read more...]

Adding text labels to ggplot2 Bar Chart

September 9, 2021 | finnstats

Adding text labels to ggplot2, Is it possible to add text labels to a bar chart in a simple way? Yes, In this article, you’ll learn how to add a frequency count to each... The post Adding text labels to ggplot2 Bar Chart appeared first on finnstats.
[Read more...]

Grouped Data Mean and Standard Deviation Calculator

September 8, 2021 | finnstats

We want to determine the mean and standard deviation of ungrouped data in practically all circumstances. However, how can you do that with grouped data? Grouped Data Mean and Standard Deviation Let’s look at... The post Grouped Data Mean and Standard Deviation Calculator appeared first on finnstats. [Read more...]

Weibull Distribution in R

September 1, 2021 | finnstats

Weibull Distribution in R, Weibull Distribution was discovered by Swedish physicist Wallodi Weibull in 1939. A continuous random variable X is said to follow Weibull distribution if its probability density function fx(x; α, β)=... The post Weibull Distribution in R appeared first on finnstats.
[Read more...]

How to Perform Tukey HSD Test in R

August 28, 2021 | finnstats

Tukey HSD Test in R, When there are three or more independent groups, we apply a one-way ANOVA to see if there is a significant difference. The p-value for one-way ANOVA is less than... The post How to Perform Tukey HSD Test in R appeared first on finnstats.
[Read more...]

How to Perform Dunnett’s Test in R

August 27, 2021 | finnstats

Dunnett’s test in R, After the ANOVA test has been completed the next step is to determine which group means are significantly different from one another. Different types of post hoc tests are available... The post How to Perform Dunnett’s Test in R appeared first on finnstats.
[Read more...]

How to Remove Duplicates in R with Example

August 25, 2021 | finnstats

How to Remove Duplicates in R, when we are dealing with data frames one of the common tasks is the removal of duplicate rows in R. This can handle while using different functions in... The post How to Remove Duplicates in R with Example appeared first on finnstats. [Read more...]

Calculate Geometric Mean in R

August 24, 2021 | finnstats

Calculate Geometric Mean in R, Geometric mean is the nth root of the product of n values of a set of observations. Geometric can be expressed as GM=(x1, x2, x3, ……, xn)1/n The advantage... The post Calculate Geometric Mean in R appeared first on finnstats. [Read more...]
1 7 8 9 10 11 14

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)