曙海教育集团
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Foundation R培训
 
   班级规模及环境--热线:4008699035 手机:15921673576( 微信同号)
       坚持小班授课,为保证培训效果,增加互动环节,每期人数限3到5人。
   上课时间和地点
开课地址:【上海】同济大学(沪西)/新城金郡商务楼(11号线白银路站)【深圳分部】:电影大厦(地铁一号线大剧院站) 【武汉分部】:佳源大厦【成都分部】:领馆区1号【沈阳分部】:沈阳理工大学【郑州分部】:锦华大厦【石家庄分部】:瑞景大厦【北京分部】:北京中山 【南京分部】:金港大厦
新开班 (连续班 、周末班、晚班):2024年12月30日......(欢迎您垂询,视教育质量为生命!)
   实验设备
     ☆资深工程师授课
        
        ☆注重质量 ☆边讲边练

        ☆合格学员免费推荐工作
        ★实验设备请点击这儿查看★
   质量保障

        1、培训过程中,如有部分内容理解不透或消化不好,可免费在以后培训班中重听;
        2、课程完成后,授课老师留给学员手机和Email,保障培训效果,免费提供半年的技术支持。
        3、培训合格学员可享受免费推荐就业机会。

课程大纲
 
  • 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

 
 
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