Subject ▸ R

The latest versin 0.1.1 of DiallelAnalysisR is aviable on CRAN. It performs Diallel Analysis with R using Griffing’s and Hayman’s approaches. Four different methods (1: Method-I (Parents + F1’s + reciprocals); 2: Method-II (Parents and one set of F1’s); 3: Method-III (One set of F1’s and reciprocals); 4: Method-IV (One set of F1’s only)) and two methods (1: Fixed Effects Model; 2: Random Effects Model) can be applied using Griffing’s approach.

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20 April 2018

Statistics, R, Python, LaTeX, Research

This is not a help service for all your Statistics, R, Python and/or LaTeX questions, so please don’t post questions in the comments, or send them to me by email. If you have questions about Statistics and/or data analysis, ask for help on crossvalidated.com. If you have questions about R, ask for help on stackoverflow.com. If you have questions about Python, ask for help on stackoverflow.com. If you have questions about LaTeX, ask for help on stackoverflow.

About myaseen208

20 April 2018

Statistics, R, Python, LaTeX, Research

This is my blog site where I will put my thoughts about Statistics, R, Python, LaTeX and Research.

Data Analysis with R: Introduction of R Language

25 March 2018

R, Statistics, Research

The Workspace Data types Vectors Matrices Lists Data Frames Reading/writing data from/to files (Import/Export Data) Connecting to the database Numerical or Graphical Summaries of data. Summarize Data Bar charts and Dot charts ggplot2 package The mpg Data Frame Data Transformation Filter Rows with filter() Comparisons Logical Operators Missing Values Arrange Rows with arrange() Select Columns with select() Add New Variables with mutate() PakPC2017Tehsil Data Frame Scatter Plot dygraphs plotly datatable The Workspace The workspace is your current R working environment and includes any user-defined objects (vectors, matrices, data frames, lists, functions).