## ---- include = FALSE--------------------------------------------------------- knitr::opts_chunk$set( collapse = TRUE, comment = "#>" ) ## ----setup-------------------------------------------------------------------- library(svplots) library(ggplot2) library(stats) ## ---- eval=TRUE, fig.width=7, fig.height=4.5---------------------------------- set.seed(2021) X<-matrix(rnorm(50,mean=2,sd=5)) svplot1(X,title="Sv-plot1",xlab="x",lbcol="grey5",lscol="grey60",rbcol="grey45",rscol="grey75") ## ---- eval=TRUE, fig.width=7, fig.height=4.5---------------------------------- set.seed(5) X <- matrix(rbeta(50,shape1=10,shape2=2)) g<-svplot1(X,title="Sv-plot1",lbcol="grey5",lscol="grey60",rbcol="grey45",rscol="grey75") g1=g$Svplot1+theme(panel.grid.minor= element_blank(), panel.grid.major= element_blank(), legend.position = 'none', panel.background = element_rect(fill = "transparent",color = "black")) g$Summary g1 ## ---- eval=TRUE, fig.width=7, fig.height=4.5---------------------------------- set.seed(10) X<-matrix(rf(50,df1=10,df2=5)) svplot2(X,title="Sv-plot2",xlab="x",lbcol="grey5",lscol="grey60",rbcol="grey45",rscol="grey75") ## ---- eval=TRUE, fig.width=7, fig.height=4.5---------------------------------- set.seed(10) X<-matrix(rnorm(50,mean=8,sd=2)) svplot2(X,title="Sv-plot2",xlab="x",lbcol="grey5",lscol="grey60",rbcol="grey45",rscol="grey75") ## ---- eval=TRUE, fig.width=7, fig.height=4.5---------------------------------- set.seed(5) X=matrix(rnorm(20,mean=3,sd=2)) test1mu(X,mu0=3.5,alpha=0.05,unkwnsigma=TRUE,sigma=NULL,xlab="x", title="Single mean: Hypothesis testing by Sv-plot2", samcol="grey5",popcol="grey45",thrcol="black") ## ---- eval=TRUE, fig.width=7, fig.height=4.5---------------------------------- set.seed(5) X=matrix(rnorm(40,mean=3,sd=2)) test1mu(X,mu0=3.5,alpha=0.05,unkwnsigma=FALSE,sigma=2,xlab="x", title="Single mean: Hypothesis testing by Sv-plot2", samcol="grey5",popcol="grey45",thrcol="black") ## ---- eval=TRUE, fig.width=7, fig.height=4.5---------------------------------- test1musm(n=20,xbar=3,s=2,mu0=4.5,alpha=0.05, unkwnsigma=TRUE,sigma=NULL,xlab="x", title="Single mean summary: Hypothesis testing by Sv-plot2", samcol="grey5",popcol="grey45",thrcol="black") ## ---- eval=TRUE, fig.width=7, fig.height=4.5---------------------------------- set.seed(5) test2mu(X1=matrix(rnorm(10,mean=3,sd=2)),X2=matrix(rnorm(20,mean=4,sd=2.5)), paired=FALSE,eqlvar=FALSE,unkwnsigmas=TRUE, sigma1=NULL,sigma2=NULL,alpha=0.05, sam1col="grey5",sam2col="grey45",thrcol="black") ## ---- eval=TRUE, fig.width=7, fig.height=4.5---------------------------------- set.seed(5) X1=matrix(rnorm(10,mean=4,sd=2)) X2=2*X1 test2mu(X1,X2, paired=FALSE,eqlvar=FALSE,unkwnsigmas=TRUE, sigma1=NULL,sigma2=NULL,alpha=0.05, sam1col="grey5",sam2col="grey45",thrcol="black") ## ---- eval=TRUE, fig.width=7, fig.height=4.5---------------------------------- test2musm(n1=20,n2=25,xbar1=3,xbar2=4,s1=1,s2=1.5, paired=FALSE,eqlvar=FALSE,unkwnsigmas=TRUE, sigma1=NULL,sigma2=NULL,sdevdif=NULL,alpha=0.05, xlab="x",title="Two means summary: Hypothesis testing by Sv-plot2", sam1col="grey5",sam2col="grey45",thrcol="black") ## ---- eval=TRUE, fig.width=7, fig.height=4.5---------------------------------- test2musm(n1=20,n2=25,xbar1=3,xbar2=3.7552127,s1=1,s2=1.5, paired=FALSE,eqlvar=FALSE,unkwnsigmas=TRUE, sigma1=NULL,sigma2=NULL,sdevdif=NULL,alpha=0.05, xlab="x",title="Two means summary: Hypothesis testing by Sv-plot2", sam1col="grey5",sam2col="grey45",thrcol="black")