实验 R语言.pptVIP

1 Introduction to R2 Basic data management 3 Basic graphs4 Basic Statistics 5 Regression6 Analysis of variance7 Analysis of SSSL;1.1 Why use R?;1.2 Obtaining and installing R;1 Introduction to R;1.4 Getting help;1 Introduction to R;2 Basic data management;2.2 Data structures;2.2 Data structures;2.3 Data input;2. Importing data from a delimited text file grades - read.table(studentgrades.csv, header=TRUE, sep=,) grades;2.4 Data management;2.4 Data management;3.1 Bar plots ;3.1 Bar plots ;3.2 Pie charts ;3.3 Histograms ;3.4 Regression lines;3.5 Graphical parameters ;3.5 Graphical parameters ;4.1 Descriptive statistics;2. aggregate( ) data - read.table(barplot.csv, header=TRUE, sep=,) vars - c(mpg, hp, wt) aggregate(data[vars], by=list(data$Improved), mean);4.2 Frequency tables;4.2 Frequency tables;4.3 Tests of independence ;4.3 Tests of independence ;4.3 Tests of independence ;4.4 t-tests ;4.4 t-tests ;5.1 Fitting regression model with lm( ) ;;5.2 OLS (ordinary least squares) regression ;5.2 OLS (ordinary least squares) regression ;5.2 OLS (ordinary least squares) regression ;5.2 OLS (ordinary least squares) regression ;5.2 OLS (ordinary least squares) regression ;6.1 Fitting ANOVA models;6.1 Fitting ANOVA models;6.1 One-way ANOVA ;6.1 One-way ANOVA ;6.2Two-way factorial ANOVA ;6.2 Two-way factorial ANOVA ;6.2 Two-way factorial ANOVA ;7.1 Single locus analysis;7.1 Single locus analysis;7.1 Single locus analysis;7.1 Single locus analysis;7.2 Two locus analysis;;;;7.4 add-add epistasis analysis only;;;;;课堂测验: 方差分析