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JuliaStats.github.io is a CSS library typically used in Web Site, Portfolio applications. JuliaStats.github.io has no bugs, it has no vulnerabilities and it has low support. However JuliaStats.github.io has a Non-SPDX License. You can download it from GitHub.

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JuliaStats.github.io has a low active ecosystem.

It has 10 star(s) with 5 fork(s). There are 18 watchers for this library.

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Community Discussions

Trending Discussions on JuliaStats.github.io

Julia language: Redirecting stdout does not affect every println // How to extract value from stdout

Julia - describe() function display incomplete summary statistics

Julia and StatsModels: print results without header line (StatsModels.DataFrameRegressionModel{...})

Equivalent of pandas 'clip' in Julia

How to install all the packages under JuliaStats?

QUESTION

Julia language: Redirecting stdout does not affect every println // How to extract value from stdout

Asked 2019-Oct-20 at 21:59

My original aim was to perform a ttest and gaining a pvalue. I used OneSampleTTest which looked promising yet the results ended up in stdout like this:

...

ANSWER

Answered 2019-Oct-20 at 17:12

I'd suggest to trust Julia and your OS to do such things fast and only try to optimize after you experience a bottleneck.

Following code prints p-values as a strings into a text file without any kind of stdout-redirection and is fast. For a million iterations it takes 2.5 seconds.

Source https://stackoverflow.com/questions/58474721

QUESTION

Julia - describe() function display incomplete summary statistics

Asked 2019-Jan-05 at 15:56

I'm trying basic data analysis with Julia

I'm following this tutorial with the train datasets that can be found here (the one named train_u6lujuX_CVtuZ9i.csv) with the following code:

...

ANSWER

Answered 2019-Jan-05 at 12:01

This is how it is currently (in the current release) implemented in StatsBase.jl. In short train[:LoanAmount] does not have eltype that is subtype of Real and then StatsBase.jl uses a fallback method that only prints length, eltype and number of unique values. You can write describe(collect(skipmissing(train[:LoanAmount]))) to get summary statistics (except number of missings of course).

Actually, however, I would recommend you to use another approach. If you want to get a more verbose output on a single column use:

Source https://stackoverflow.com/questions/54051240

QUESTION

Julia and StatsModels: print results without header line (StatsModels.DataFrameRegressionModel{...})

Asked 2018-Jun-19 at 14:27

I run a linear regression with Julia, GLM, and StatsModels and print the results, which I include directly in the research report. This printout includes a header line with the object type, which is a distraction in the report. For example, this code:

...

ANSWER

Answered 2018-Jun-19 at 14:27

Following discussion in the comments. If you only need to get summary of coefficients of your model write:

Source https://stackoverflow.com/questions/50929163

QUESTION

Equivalent of pandas 'clip' in Julia

Asked 2018-May-09 at 06:50

In pandas, there is the clip function (see https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.clip.html), which constrains values within the lower and upper bound provided by the user. What is the Julia equivalent? I.e., I would like to have:

...

ANSWER

Answered 2018-May-09 at 06:36

You are probably looking for clamp:

Source https://stackoverflow.com/questions/50246434

QUESTION

How to install all the packages under JuliaStats?

Asked 2017-Jun-06 at 13:35

I want to install all the packages under JuliaStats, but none of the followings is working:

...

ANSWER

Answered 2017-Jun-06 at 13:34

JuliaStats is not a library of packages. It is an organization of people who together maintain collection of packages.

You don't want to install all of their packages. Several of them are deprecated -- replaced by newer packages from the same org.

You want to install the package that you want, for your task. The package manager will workout what other packages that one needs, and download them for your.

Eg you want to sample from a Trucated Gausian Distribution? Then you'll want Distributions.jl. Install that by running: Pkg.add("Distributions")

This will also install a number of other packages from Julia Stats: StatsFuns.jl, StatsBase.jl, and also from elsewhere Calculus.jl, SpecialFunctions.jl. Because these packages are required for Distributions.jl to run.

Source https://stackoverflow.com/questions/44391021

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