363 skills found · Page 10 of 13
0PandaDEV / Ziit VscodeThe VS Code extension for the time tracking software Ziit.
orbeckst / G Countg_count and g_flux are simple Gromacs tools that are primarily useful to characterize movement of water inside a cylindrical region. This can be the pore of an ion channel or a carbon nanotube. g_count returns statistics about how many atoms of a certain type (for instance, water oxygens) occupied the region of interest. g_flux calculates the flux through a cylindrical region. g_zcoord is a dumb piece of code that just prints z-coordinates of atoms in a cylindrical region; it should be easy enough to add additional functionality. g_flux is more sophisticated than g_count and gives more detailed information but you are encouraged to check that the reported results agree with what you can see in your system. For instance, get the indices of translocating particles and then track them in a trajectory viewer such as VMD. Detailed documentation can be found in the help functions for each program (run it with -h). Background information (slighly outdated for the current g_count-gmx4.5 release) can be found in the appendix (pdf) of my thesis. When you use g_flux/g_count please cite * O. Beckstein and M. S. P. Sansom, The influence of geometry, surface character and flexibility on the permeation of ions and water through biological pores, Phys. Biol. 1 (2004), 42–52. doi:10.1088/1478-3967/1/1/005
akaidkhan / Data Science With RIntroduction to R R is a programming language, which is an object oriented language created by Statisticians, R provides objects, operators and functions that allow the user to explore, model and visualize data. R is a Programming language Developed at AT&T Bell Lab. It is an open source free language, allowing anyone to use and modify it. R is licensed under the GNU General Public License, with copyright held by The R Foundation For Statistical Computing. It has no need to pay any subscription charges R has a huge active community member. If you have any question about any function any library you can Google it and you would get a proper answer and right the way. As it is an open source language, you, me and lots of Data Scientist, they actually built in all those, inbuilt function and they upload it in a website called CRAN and then you can download all those packages. Over 7800 packages listed on CRAN, here we listed some of the most powerful and commonly used in R packages. R is a cross platform. R can run in different kind of operating system and different hardware. Generally, it is used on GNU/Linux, Macintosh, and Microsoft Windows and running on both 32 and 64-bit processor. R is mainly used for Statistical Analysis and Analytics Purpose, you might be thinking why to learn again another language if you already know many programming languages like JAVA or other programming languages, and think why do you need the language because R is mainly used for all those statistical Analysis and that’s why you should learn the language R. you would understand after doing this course it is actually easy to interpret. R is the leading tool for statistics and data analysis, machine learning as well as. The programming language is more than a statistical package, you can build your own objects, functions, and packages. It is easy to use, the coding style is quite easy. R enables you to interact with many data sources: ODBC -compliant databases (Excel, Access). R also can handle CSV files, SAS, and SPSS, XML and lots of other different files as well. Similarly, it can create a very good visualization. It can produce graphics output in PDF, JPG, PNG and SVG formats and table output for LATEX and HTML. It has a lot of inbuilt functions(packages & Libraries) and the results are also easy to interpret and that’s why lots of industries are using R, it is not about the big or small. Lots of companies like Microsoft, Google are using R actively. It has a big reason, it is free and you can do POC out there. So, be confident about the fact that you are going to learn R and it has huge popularity and your market value is always higher if you know R in Data Science
barbie / Cpan Testers Www StatisticsCPAN Testers Statistics website generation code
iBMLab / Statistical Analysis With MatlabMatlab code of a introductory course on linear statistics
Apress / Learn R For Applied StatisticsSource Code for 'Learn R for Applied Statistics' by Eric G. Ming Hui
ForEcolZappers / PublicWikiCoding and Statistics Club Shared Content
PSFDS-MATLAB / Practical Statistics For Data Scientists With MATLABThis repository provides MATLAB code for the computation described in the book "Statistics for Data Scientists: 50 Essential Concepts." Original R code and data can be found here. https://github.com/andrewgbruce/statistics-for-data-scientists
nrennie / Learning Statistics With PythonQuarto revealjs slides to teach introductory statistics concepts using interactive pyodide code blocks.
dberma15 / CumulativeProspectTheoryCode that uses Bayesian Statistics to estimate the parameters for Cumulative Prospect Theory
linked-statistics / EurostatBack-end code and website for eurostat.linked-statistics.org
aashishpanta0 / Nasa Arset TrainingThis repository provides materials and code for NASA ARSET training on assessing extreme weather statistics using NASA Earth Exchange Global Daily Downscaled Projections (NEX-GDDP-CMIP6)
KirstieJane / STATISTICSCode for performing statistics
suicee / MI4StatsEvalCode for using Mutual information to evaluate the effectiveness of summary statistics
Dasonk / PackageAnalyzeRA package to produce statistics based on the source code of other R packages.
bishesh / StatsCompare RiemannianManifold GroupsA set of matlab codes to explore the differences in statistics on Riemannian manifold and groups.
johnmyleswhite / Spatial Statistics In RSlides and code on spatial statistics in R.
dandedotdev / DandedotdevDynamic profile with Wakatime to gather coding statistics and music status with Spotify API.
Hugo-W / Feature PACCode and minimal working example on preprocessed data to reproduce results of "The Structure and Statistics of Language jointly shape Cross-frequency Dynamics during Spoken Language Comprehension".
djeada / Statistics NotesThis repository contains notes, explanations, and code snippets related to essential statistics concepts and techniques. The materials cover a range of topics, from basic probability and descriptive statistics to more advanced concepts like hypothesis testing and confidence intervals.
