NaN Toolbox >> NaN Toolbox > Descriptive Statistics
Descriptive Statistics
- nan_center — removes the mean
- nan_coef_of_variation — returns STD(X)/MEAN(X)
- nan_cumsum — Cumulative sum while skiping NaN's.
- nan_detrend — removes the trend from data, NaN's are considered as missing values
- nan_ecdf — empirical cumulative function
- nan_filter — is able to filter data with missing values encoded as NaN.
- nan_geomean — calculates the geomentric mean of data elements.
- nan_grpstats — Summary statistics by group.
- nan_harmmean — calculates the harmonic mean of data elements.
- nan_hist2res — Evaluates Histogram data
- nan_histc — Produce histogram counts.
- nan_histo — calculates histogram for each column
- nan_histo2 — calculates histogram for multiple columns with separate bin values for each data column.
- nan_histo3 — calculates histogram for multiple columns with common bin values among all data columns, and can be useful for data compression.
- nan_histo4 — calculates calculates histogram of multidimensional data samples and supports data compression
- nan_iqr — calculates the interquartile range
- nan_kurtosis — estimates the kurtosis
- nan_mad — estimates the Mean Absolute deviation
- nan_mean — calculates the mean of data elements.
- nan_meanAbsDev — estimates the Mean Absolute deviation
- nan_meandev — estimates the Mean deviation
- nan_meansq — calculates the mean of the squares
- nan_medAbsDev — calculates the median absolute deviation
- nan_median — median data elements,
- nan_moment — estimates the p-th moment
- nan_percentile — calculates the percentiles of histograms and sample arrays.
- nan_prctile — calculates the percentiles of histograms and sample arrays.
- nan_quantile — calculates the quantiles of histograms and sample arrays.
- nan_ranks — gives the rank of each element in a vector.
- nan_rms — calculates the root mean square
- nan_sem — calculates the standard error of the mean
- nan_skewness — estimates the skewness
- nan_spearman — Spearman's rank correlation coefficient.
- nan_statistic — estimates various statistics at once.
- nan_std — calculates the standard deviation.
- nan_sumsq — calculates the sum of squares.
- nan_trimean — evaluates basic statistics of a data series
- nan_trimmean — calculates the trimmed mean by removing the upper and lower
- nan_var — calculates the variance.
- nan_y2res — evaluates basic statistics of a data series
- nan_zScoreMedian — removes the median and standardizes by the 1.483*median absolute deviation
- nan_zscore — removes the mean and normalizes the data to a variance of 1.