rstatix | Pipe-friendly Framework for Basic Statistical Tests in R | Analytics library

Here is the dput for the data I have. I have only included the head of the data because this is a pretty massive dataset, but I think it should suffice given my question:

The function stat_pvalue_manual() will add p-values to boxplots using ggboxplot. However, the p-values that are printed are sometimes many digits long. I would like to limit the number of decimal places to 3. How can I do that?

From the plot below you will see that the p-value for versicolor and virginica is 5 decimal places, how can I adjust the code below to report back 3 decimal places (i.e., 0.009)?

I am trying to install factoextra, but I gets stuck during the CMake part, in particular with error like:

CMake Error: The source directory "/tmp/..." does not exist.

(same when I try to install its dependencies: nloptr, pbkrtest, lme4, car, rstatix, FactoMineR, ggpubr )

any idea?

thanks

ps:

• R version 4.0.0
• centos 7

last part of logs:

I am doing a one-way ANCOVA analysis on root colonisation data using the following example https://www.datanovia.com/en/lessons/ancova-in-r/. I am trying to remove the trendline from the resulting plot as my treatments are separate groups so I don't think it is necessary. I have tried using each of the following but I can't get any to work with this code. Is there another way I can go about this? Thanks!

I want run a series of kruskal.tests, followed by a dunn_test where the Kruskal was significant. Then print the results of the significant dunn_tests.

I am trying to compute the effect size of a one-sample Wilcoxon test.

The complete dataset is stored in the sart variable. The data in question is stored in the variable Delta_PI, which is a list of numerical values ranging between -1 and 1.

The test runs without problems, and I would like to find the effect size. Hence, I use:

Having trouble figuring out how to do a series of t tests in a for loop and take the outputs each time the test is completed and append the results to a data frame. The goal is to run many t-tests at once and produce a data frame of all the results.

Here's it done with the mtcars dataset the slow way:

Here is the dput head for my dataset:

I am analyzing an RCT and am looking at treat*time interaction tests. I wish to extract the p-values for an ANOVA into a data frame for exporting into excel. Presently, my code programs an object with the p-values as a numerical vector of dimensions [1:4]. However, when I copy this into excel, the data is transcribed into one cell per line with the values separated by spaces rather than each p-value occupying its own cell.