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描述性统计量

数值汇总和相关度量

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、相关性和协方差的度量。制作数据的一般报表和交叉表,并计算分组数据的汇总统计量。

函数

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geomeanGeometric mean
harmmeanHarmonic mean
trimmeanMean, excluding outliers
kurtosisKurtosis
momentCentral moment
skewnessSkewness
rangeRange of values
iqrInterquartile range
madMean or median absolute deviation
prctile数据集的百分位数
quantileQuantiles of a data set
zscoreStandardized z-scores
corr线性或秩相关性
robustcovRobust multivariate covariance and mean estimate
cholcovCholesky-like covariance decomposition
corrcovConvert covariance matrix to correlation matrix
partialcorrLinear or rank partial correlation coefficients
partialcorriPartial correlation coefficients adjusted for internal variables
nearcorrCompute nearest correlation matrix by minimizing Frobenius distance
grpstatsSummary statistics organized by group
tabulateFrequency table
crosstabCross-tabulation
tiedrankRank adjusted for ties

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.

Quantiles and Percentiles

Learn how the Statistics and Machine Learning Toolbox™ computes quantiles and percentiles.

Grouping Variables

Grouping variables are utility variables used to group or categorize observations.