The situation worsens if you want MS-Word output. As those of us in medical fields know, most journals (with some notable exceptions like the Clinical Mass Spectrometry Journal and other Elsevier journals like Clinical Biochemistry and Clinica Chimica Acta) require submission of a document in MS-Word format which goes against all that Data Science and Reprodicible Research stands for–he says ...

In a random collection of data from independent sources, it is generally observed that the distribution of data is normal. Which means, on plotting a graph with the value of the variable in the horizontal axis and the count of the values in the vertical axis we get a bell shape curve.

mytable<-xtabs(~Treatment+Improved,data=Arthritis) mytable #可以使用margin.table（）和prop.table（）函数分别生成边际频数和比例 margin.table(mytable,1) #下标1指代table（）语句中的第一个变量 prop.table(mytable,1) #列和列比例可以这样计算 margin.table(mytable,2)#下标2指代table（）语句中的第二个变量 prop.table(mytable,2) #各单元所 ...

4.2 The Normal Distribution Example: 1. The length of time needed to complete a certain test is normally distributed with mean 60 minutes and

# To get the 75-th percentile (3rd quartile) of SAT scores # based on the parameters provided previously qnorm (0.75, 1060, 195) #> [1] 1191.526 18.11 Assessing normality There are a number of graphical tools we have at our disposal to assess approximate normality based on observations of a variable of interest.