Category: Methods

t test in R 0

t-test in R-How to Perform T-tests in R

t-test in R-How to Perform, Student’s t-test is the deviation of the estimated mean from its population mean expressed in terms of standard error. In this article talking about how to perform a t-test...

Proportion test in R 1

Proportion test in R

How to do a proportion test in R and what are the conditions that need to meet for the proportion test? The sampling method for each population is simple random sampling. The samples are...

One sample analysis in R 2

One Sample Analysis in R

One sample analysis in R-In statistics, we can define the corresponding null hypothesis  (H0) as follow: Hypothesis: 1.      H0:m=μ,  2.      H0:m≤μ 3.      H0:m≥μ The corresponding alternative hypotheses (Ha) are as follow: 1.      Ha:m≠μ (different) 2.      Ha:m>μ (greater) 3.      Ha:m<μ (less) Outlier Detection: Out.fun<-function{abs(x-mean(x,na.rm=TRUE))>3*sd(x,na.rm=TRUE)} ddply(data,.(sample, variable),transform,outlier.team=out.fun(value)) column heading...

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