but ANOVA does not tell which treatments are significantly different from each other. To know the pairs of significant different treatments, we will perform multiple pairwise comparison (post hoc comparison) analysis for all unplanned comparison usingTukey’s honestly significantly differenced (HSD)test....
Compare the mean of multiple groups using ANOVA test res.aov <- PlantGrowth %>% anova_test(weight ~ group) res.aov ## ANOVA Table (type II tests) ## ## Effect DFn DFd F p p<.05 ges ## 1 group 2 27 4.85 0.016 * 0.264 ...
Things to Remember Before performing any data analysis in Excel, you must be clear about your data type, e.g., continuous or categorical. Next, you must select from the enriched list of statistical analysis tools, such as t-test, ANOVA, regression, and correlation. Once you’ve conducted ...
The formula mentioned above finds the minimum value in column A using AutoSum, making it easy to determine the lowest value in a dataset. By exploring these variations of AutoSum, you can efficiently perform a wide range of calculations and data analysis tasks in Excel. Take advantage of thes...
Perform t-tests and obtaining the p-value in Excel. Step 7-10. Image by Author Image showing results of the t-test using the Data Analysis Toolpak. Image by Author How to find p-value in Excel manually As a final option, we could calculate a p-value manually. Here, let’s do a...
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 ap
How to perform fisher test in R - The fisher test helps us to understand whether there exists a significant non-random relationship among categorical variables or not. It is applied on contingency tables because these tables are used to represent the fre
In the following example, we’ll perform T-test using the functiont_test()[rstatix package]. It’s also possible to use the functionwilcox_test(). stat.test <- df %>% t_test(len ~ dose) stat.test ## # A tibble: 3 x 10 ...
Antimicrobial resistance (AMR) is an urgent public health threat. Advancements in artificial intelligence (AI) and increases in computational power have resulted in the adoption of AI for biological tasks. This review explores the application of AI in ba
The two most commonly used feature selection methods for numerical input data when the target variable is categorical (e.g. classification predictive modeling) are the ANOVA f-test statistic and the mutual information statistic. In this tutorial, you will discover how to perform feature selection wi...