"SAS统计量计算：单变量过程句法"

PROC UNIVARIATE is a SAS statistical procedure used for calculating various statistics and visual representations for single-variable analysis. It includes options for processing data in descending order, specifying variables to be analyzed, and handling non-sorted data. It also allows for the inclusion of class variables with options, frequency variables, histogram and probability plots, and the output of specific statistical measures to a SAS data set. Specifically, the PROC UNIVARIATE procedure allows for the calculation of statistics such as mean, median, variance, skewness, kurtosis, and various percentiles. It also provides options for visual representations of the data through histograms and quantitative-quantile plots. Additionally, it includes the capability to specify class variables, frequency variables, and weight variables for more complex analyses. In addition to PROC UNIVARIATE, the chapter also introduces other statistical procedures for calculating various measures, such as the CORR procedure for computing correlation coefficients between variables. The CORR procedure syntax includes options for handling non-sorted data, specifying frequency variables, partial correlations, and weight variables for more advanced analyses. Overall, the statistical procedures covered in this chapter provide a comprehensive toolkit for conducting single-variable and multivariable analyses in SAS. Whether it's calculating basic statistics or exploring the relationships between variables, SAS provides the necessary tools for researchers and analysts to effectively analyze and interpret their data.