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描述性统计量

数值汇总和相关测度

根据样本数据计算描述性统计量，包括有关集中趋势、散度、形状、相关性和协方差的测度。制作数据的一般报表和交叉表，并计算分组数据的摘要统计量。有关其他描述性统计量功能，请参阅描述性统计量。

函数

中心趋势和散度

`geomean`	Geometric mean
`harmmean`	Harmonic mean
`trimmean`	Mean, excluding outliers
`kurtosis`	Kurtosis
`moment`	Central moment
`skewness`	Skewness

范围、偏差和 Z 分数

`range`	值的范围
`mad`	Mean or median absolute deviation
`zscore`	标准化 z 分数

相关性和协方差

`corr`	线性或秩相关性
`robustcov`	Robust multivariate covariance and mean estimate
`cholcov`	Cholesky-like covariance decomposition
`corrcov`	Convert covariance matrix to correlation matrix
`partialcorr`	Linear or rank partial correlation coefficients
`partialcorri`	Partial correlation coefficients adjusted for internal variables
`nearcorr`	Compute nearest correlation matrix by minimizing Frobenius distance (自 R2019b 起)

制表和分组数据

`grpstats`	Summary statistics organized by group
`tabulate`	频数表
`crosstab`	Cross-tabulation
`tiedrank`	针对结值而调整的秩

主题

Exploratory Analysis of Data
Explore the distribution of data using descriptive statistics.
Measures of Central Tendency
Locate a distribution of data along an appropriate scale.
Measures of Dispersion
Find out how spread out the data values are on the number line.
Grouping Variables
Grouping variables are utility variables used to group or categorize observations.