<thead id="fflbj"><font id="fflbj"><cite id="fflbj"></cite></font></thead>
    <progress id="fflbj"><thead id="fflbj"><font id="fflbj"></font></thead></progress>

            課程目錄:Foundation R培訓
            4401 人關注
            (78637/99817)
            課程大綱:

               Foundation R培訓

             

             

             

            Basic overview of R and R Studio
            R overview
            R Studio Environment Windows
            Script Editor Window
            Data Environment
            Console
            Plots/Help/Packages
            Working with Data
            Introduction to vectors and matrices (data.frame)
            Different types of variables
            Numeric, Integer, factor etc
            Changing variable types
            Importing data using R Studio menu functions
            Removing variables ls() command
            Creating variables at the console prompt – single, vector, data frame
            Naming vectors and matrices
            Head and tail commands
            Introduction to dim, length and class
            Command line import (reading .csv and tab delimited .txt files)
            Attaching and detaching data (advantages vs data.frame$)
            Merging data using cbind and rbind
            Exploratory Data Analysis
            Summarising data
            Summary command on both vectors and data frames
            Sub-setting data using square brackets
            summarising and creating new variables
            Table and summary commands
            Summary statistic commands
            Mean
            Median
            Standard Deviation
            Variance
            Count & frequencies
            Min & Max,
            Quartiles
            Percentiles
            Correlation
            Exporting data
            Write table .txt
            Write to a .csv file
            R Workspace
            Concept of Working Directories and Projects (menu driven and code – setwd())
            Introduction to R scripts
            Creating R Scripts
            Saving scripts
            Workspace images
            Concepts of packages
            Installing packages
            Loading packages into memory
            Plotting data (using standard default R plot command and ggplot2 package)
            Bar Charts and Histograms
            Boxplots
            Line charts / time series
            Scatter plots
            Stem and leaf
            Mosaic
            Modifying plots
            Titles
            Legends
            Axis
            Plot Area
            Exporting a plot to a third party application

            538在线视频二三区视视频