normality | 17 standard normality tests in a single wrapper | Testing library

by alastairrushworth R Version: Current License: No License

X-Ray Key Features Code Snippets(1)Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | normality Summary

normality is a R library typically used in Testing applications. normality has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

17 standard normality tests in a single wrapper.

Support

Quality

Security

License

Reuse

Support

normality has a low active ecosystem.

It has 6 star(s) with 0 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 1 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of normality is current.

Quality

normality has no bugs reported.

Security

normality has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

normality does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

normality releases are not available. You will need to build from source code and install.

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of normality

Get all kandi verified functions for this library.

normality Key Features

No Key Features are available at this moment for normality.

normality Examples and Code Snippets

r Convert molarity to normality .

python

Lines of Code : 14

License : Permissive (MIT License)

Copy

def molarity_to_normality(nfactor: int, moles: float, volume: float) -> float:
    """
    Convert molarity to normality.
      Volume is taken in litres.

      Wikipedia reference: https://en.wikipedia.org/wiki/Equivalent_concentration
      Wik

Community Discussions

Trending Discussions on normality

how to create a wormplot (detrended Q-Q plot) in ggplot?

Shapiro.test error message: attempt to set an attribute on NULL

Why isn't my mixed model loop working? (RStudio, Crossover design)

boxplot equivalent in ggplot 2 + advise for outlier detection and normality

Apply function per row in R

R: Kolmogorov-Smirnov Test visualization for normality testing (comparation of empirical CDF vs theoritical CDF)

Normality test for multi-grouped data in R

Linear model with boxcox for data frame with zeros. Unable to predict for required values

How to perform a 1-way ANOVA test separated by categories and subcategories using R?

Checking for normality distribution error

QUESTION

how to create a wormplot (detrended Q-Q plot) in ggplot?

Asked 2021-Jun-13 at 20:42

Q-Q plot is a useful graphical device used to check for example normality of residuals. Q-Q plot is constructed by putting theoretical quantiles on x-axis and observed quantiles on the y-axis. In ggplot, this can be easily done using geom_qq and stat_qq. I would like to produce a wormplot, which is like a Q-Q plot, but on the y-axis, it has a difference between theoretical and observed quantiles (see the figure).

Is there a way to do this in ggplot? For example, is there a simple way to change the y-axis of the geom_qq to show the difference between theoretical and observed quantiles? I know it should be possible to calculate observed quantiles manually, but this would not work well if I would like to create plots of multiple groups or using facets, since then I would also need to calculate the observed quantiles manually for each group separately.

...

ANSWER

Answered 2021-Jun-13 at 20:42

blogpost mentioned in comments contains a guide to code your own statfunctions to create such plots yourself

Otherwise, library qqplotr https://aloy.github.io/qqplotr/index.html contains an option detrend=True which basically produce wormplots with accompanying confidence bands.

If you want lines, and not a band, just do fill=NA, color='black', size=0.5

Source https://stackoverflow.com/questions/67091084

QUESTION

Shapiro.test error message: attempt to set an attribute on NULL

Asked 2021-Jun-07 at 19:32

I am attempting to perform a test for normality in some stock returns, both visually and with a test. I think I got it right with the histogram, but the Shapiro test is giving me the following error message:

Error in .xts(e, .index(e2), .indexCLASS = indexClass(e2), .indexFORMAT = indexFormat(e2), : attempt to set an attribute on NULL

I attempted to make the following code reproducible, but please let me know if theres anything else needed.

...

ANSWER

Answered 2021-Jun-07 at 18:11

According to ?shapiro.test, input 'x'

x - a numeric vector of data values. Missing values are allowed, but the number of non-missing values must be between 3 and 5000.

Here, we have a an 'xts' object which basically inherits a matrix class as well. So, we can either convert to vector by using as.numeric or as.vector

Source https://stackoverflow.com/questions/67876476

QUESTION

Why isn't my mixed model loop working? (RStudio, Crossover design)

Asked 2021-May-31 at 15:44

I can't figure out why my loop isn't working.

I have a database (36rows x 51columns, its name is "Seleccio") consisting of 3 factors (first 3 columns: Animal (12 animals), Diet (3 diets) and Period (3 periods)) and 48 variables (many clinical parameters) with 36 observations per column. It is a 3x3 crossover design so I want to implement a mixed model to include the Animal random effect and also Period and Diet fixed effects and the interaction between them.

A sample of the data (but with less rows and columns):

...

ANSWER

Answered 2021-May-31 at 15:44

I don't think i can run the model with only 6 observations, so i couldn't find why would your loop doesn't return the same as doing it one by one. Maybe the problem is with cat(colnames(Seleccio)[i]): you only want the Var names, and for i=1, 2 and 3, that code will return "Animal", "Diet" and "Period", thus messing up how you're comparing the results. Using cat(colnames(vars)[i]) might correct that. If you find a way to include more observations of Seleccio i might be able to help more.

I would suggest you to create a list to store the output:

Source https://stackoverflow.com/questions/67774414

QUESTION

boxplot equivalent in ggplot 2 + advise for outlier detection and normality

Asked 2021-May-23 at 08:18

I have the following sample:

...

ANSWER

Answered 2021-May-23 at 07:11

Here's the answer to your first question -

ggplot prefers the data in long format which can be done using pivot_longer.

Source https://stackoverflow.com/questions/67657090

QUESTION

Apply function per row in R

Asked 2021-Apr-30 at 22:16

I have a dataset to which I am trying to apply shapiro.test.

...

ANSWER

Answered 2021-Apr-30 at 22:16

library(dplyr)

test_data %>% 
  nest_by(gene, treatment, day, .key = "nested") %>% 
  mutate(sw = list(shapiro.test(nested$data))) %>% 
  pull(sw)

Source https://stackoverflow.com/questions/67340665

QUESTION

R: Kolmogorov-Smirnov Test visualization for normality testing (comparation of empirical CDF vs theoritical CDF)

Asked 2021-Apr-25 at 17:54

I want to check for normality using Kolmogorov-Smirnov test (ks-test) and visualize it to support my presentation.

I used this default code

...

ANSWER

Answered 2021-Apr-25 at 17:54

The theoretical cumulative probability functions in R are given by the p* versions of distribution functions. If you want to test for normality, the function would be pnorm. Below you'll find a way you can plot this. The black line indicates the point of maximum difference.

Source https://stackoverflow.com/questions/67254248

QUESTION

Normality test for multi-grouped data in R

Asked 2021-Apr-15 at 17:12

I'm trying to run a normality test over my data in R. My dataset is data frame formed by 4 columns of characters and one column with numeric values. At the moment, I'm using the Rstatix package in R and other type of statistical test are working well like wilcox_test() and kruskal_test() but when I try to run shapiro_test() it doesn't work giving the following error:

...

ANSWER

Answered 2021-Apr-15 at 13:08

Here is a way with stats::shapiro.test.

Source https://stackoverflow.com/questions/67108003

QUESTION

Linear model with boxcox for data frame with zeros. Unable to predict for required values

Asked 2021-Apr-07 at 15:45

I am trying to use boxcox to normalise the data I have. But I generate a model which can't predict at the conditions I want. Why is this happening?

I have a dataframe:

...

ANSWER

Answered 2021-Apr-07 at 15:45

I think you should not use $ the way you have used it, since if you use that way, the coefficients are created like a$some_variable, while predicting the names of variables are however some_variable not a$some_variable in your given test record, You can try below approach. Please let me know if it fixes your issue.

Source https://stackoverflow.com/questions/66988744

QUESTION

How to perform a 1-way ANOVA test separated by categories and subcategories using R?

Asked 2021-Mar-21 at 16:11

Here is a brief context:

The experiments were conducted (Experiment A and Experiment B). Each experiment was separated into categories (Low and High). Each of the categories was evaluated using 3 samples (Sample 1, Sample 2 and Sample 3). The value of each sample was analyzed 3 times. With this information, the following database was obtained

...

ANSWER

Answered 2021-Mar-21 at 16:11

Using the rstatix package, pipe functions can be created to indicate where to perform the statistical analysis:

Source https://stackoverflow.com/questions/66673736

QUESTION

Checking for normality distribution error

Asked 2021-Mar-02 at 16:27

I want to check for normality in my data but I get an error message when I compute it like that.

...

ANSWER

Answered 2021-Mar-02 at 12:43

Store the results in a list, you can then use unnest_wider to get the output in different columns.

Source https://stackoverflow.com/questions/66439577

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install normality

You can use devtools to install normality directly from the github repo.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

Find more information at: