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avg |
Computes the average of a variable regardless of dimensionality.
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betainc |
Evaluates the incomplete beta function.
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bin_avg |
Calculates gridded binned averages and counts on a rectilinear grid using randomly spaced data.
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bin_sum |
Calculates binned sums and counts over multiple invocations of the procedure on a rectilinear grid.
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bootstrap_correl |
Bootstrap estimates of sample cross correlations (ie, Pearson's correlation coefficient) between two variables.
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bootstrap_diff |
Bootstrap mean differences from two samples.
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bootstrap_estimate |
Extract the user specified element from the bootstrapped values.
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bootstrap_regcoef |
Bootstrap estimates of linear regression coefficient.
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bootstrap_stat |
Bootstrap estimates of a user specified statistic derived from a variable.
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ceemdan |
Complete Ensemble Empirical Mode Decomposition with Adaptive Noise.
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cohsq_c2p |
Given coherence-squared and the effective degrees-of-freedom, calculate the associated probability.
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cohsq_p2c |
Calculate the value(s) of coherence-squared required for a specified significance level and effectiove degrees-of-freedom.
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dim_acumrun_n |
Calculates individual accumulated sums of sequences ('runs') of a specified length.
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dim_avg |
Computes the average of a variable's rightmost dimension at all other dimensions.
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dim_avg_n |
Computes the average of a variable's given dimension(s) at all other dimensions.
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dim_avg_n_Wrap |
Computes the average of a variable's given dimensions at all other dimensions and retains metadata.
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dim_avg_wgt |
Computes the weighted average of a variable's rightmost dimension at all other dimensions.
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dim_avg_wgt_n |
Computes the weighted average of a variable's given dimension at all other dimensions.
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dim_avg_wgt_n_Wrap |
Computes the weighted average of a variable's given dimension at all other dimensions and retains metadata.
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dim_avg_wgt_Wrap |
Computes the weighted average of a variable's rightmost dimension at all other dimensions and retains metadata.
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dim_avg_Wrap |
Computes the average of a variable's rightmost dimension at all other dimensions and retains metadata.
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dim_cumsum |
Calculates the cumulative sum along the rightmost dimension.
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dim_cumsum_n |
Calculates the cumulative sum along the given dimension(s).
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dim_cumsum_n_Wrap |
Calculates the cumulative sum along the given dimension(s) and retains metadata.
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dim_cumsum_Wrap |
Calculates the cumulative sum along the rightmost dimension and retains metadata.
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dim_gamfit_n |
Fit data to the two parameter gamma distribution.
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dim_max |
Finds the maximum of a variable's rightmost dimension at all other dimensions.
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dim_max_n |
Finds the maximum of a variable's given dimensions at all other dimensions.
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dim_max_n_Wrap |
Computes the maximum of a variable's given dimensions at all other dimensions and retains metadata.
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dim_median |
Computes the median of a variable's rightmost dimension at all other dimensions.
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dim_median_n |
Computes the median of a variable's given dimensions at all other dimensions.
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dim_min |
Finds the minimum of a variable's rightmost dimension at all other dimensions.
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dim_min_n |
Finds the minimum of a variable's given dimensions at all other dimensions.
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dim_min_n_Wrap |
Computes the minimum of a variable's given dimensions at all other dimensions and retains metadata.
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dim_numrun_n |
Counts the number of "runs" (sequences) within a series containing zeros and ones.
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dim_rmsd |
Computes the root-mean-square-difference between two variables' rightmost dimension at all other dimensions.
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dim_rmsd_n |
Computes the root-mean-square-difference between two variables' given dimensions at all other dimensions.
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dim_rmsd_n_Wrap |
Computes the root-mean-square-difference between two variables' given dimensions at all other dimensions.
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dim_rmsd_Wrap |
Computes the root-mean-square-difference between two variables' rightmost dimension at all other dimensions.
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dim_rmvmean |
Calculates and removes the mean of the (rightmost) dimension at all other dimensions.
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dim_rmvmean_n |
Calculates and removes the mean of the given dimension(s) at all other dimensions.
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dim_rmvmean_n_Wrap |
Calculates and removes the mean of the given dimensions at all other dimensions and retains metadata.
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dim_rmvmean_Wrap |
Calculates and removes the mean of the (rightmost) dimension at all other dimensions and retains metadata.
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dim_rmvmed |
Calculates and removes the median of the (rightmost) dimension at all other dimensions.
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dim_rmvmed_n |
Calculates and removes the median of the given dimension(s) at all other dimensions.
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dim_rmvmed_n_Wrap |
Calculates and removes the median of the given dimensions at all other dimensions and retains metadata.
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dim_rmvmed_Wrap |
Calculates and removes the median of the (rightmost) dimension at all other dimensions and retains metadata.
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dim_standardize |
Calculates standardized anomalies of the rightmost dimension at all other dimensions.
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dim_standardize_n |
Calculates standardized anomalies of the given dimension(s) at all other dimensions.
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dim_standardize_n_Wrap |
Calculates standardized anomalies of the given dimensions at all other dimensions and retains metadata.
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dim_standardize_Wrap |
Calculates standardized anomalies of the rightmost dimension at all other dimensions and retains metadata.
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dim_stat4 |
Computes the first four moments (average, sample variance, skewness, and kurtosis) of the rightmost dimension for all other dimensions.
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dim_stat4_n |
Computes the first four moments (average, sample variance, skewness, and kurtosis) of the given dimension(s) for all other dimensions.
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dim_stddev |
Computes the sample standard deviation of a variable's rightmost dimension at all other dimensions.
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dim_stddev_n |
Computes the sample standard deviation of a variable's given dimension(s) at all other dimensions.
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dim_stddev_n_Wrap |
Computes the sample standard deviation of a variable's given dimension(s) at all other dimensions and retains metadata.
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dim_stddev_Wrap |
Computes the sample standard deviation of a variable's rightmost dimension at all other dimensions and retains metadata.
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dim_sum_wgt_n_Wrap |
Computes the weighted sum of a variable's given dimension at all other dimensions and retains metadata.
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dim_sum_wgt_Wrap |
Computes the weighted sum of a variable's rightmost dimension at all other dimensions and retains metadata.
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dim_variance |
Computes the unbiased estimates of the variance of a variable's rightmost dimension.
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dim_variance_n |
Computes the unbiased estimates of the variance of a variable's given dimension(s) at all other dimensions.
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dim_variance_n_Wrap |
Computes unbiased estimates of the variance of a variable's given dimension(s) at all other dimensions and retains metadata.
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dim_variance_Wrap |
Computes unbiased estimates of the variance of a variable's rightmost dimension at all other dimensions and retains metadata.
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dtrend |
Estimates and removes the least squares linear trend of the rightmost dimension from all grid points.
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dtrend_msg |
Estimates and removes the least squares linear trend of the rightmost dimension from all grid points (missing values allowed).
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dtrend_msg_n |
Estimates and removes the least squares linear trend of the dim-th dimension from all grid points (missing values allowed).
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dtrend_n |
Estimates and removes the least squares linear trend of the given dimension from all grid points.
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dtrend_quadratic |
Estimates and removes the least squares quadratic trend of the rightmost dimension from all grid points.
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dtrend_quadratic_msg_n |
Estimates and removes the least squares quadratic trend of the dim-th dimension from all grid points (missing values allowed).
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eemd |
Perform ensemble empirical mode decomposition (EEMD).
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equiv_sample_size |
Estimates the number of independent values in a series of correlated values.
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esccr |
Computes sample cross-correlations.
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esccv |
Computes sample cross-covariances.
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escorc |
Computes the (Pearson) sample linear cross-correlations at lag 0 only.
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escorc_n |
Computes the (Pearson) sample linear cross-correlations at lag 0 only, across the specified dimensions.
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escovc |
Computes sample cross-covariances at lag 0 only.
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exponential_curve_fit |
Calculates the coefficients for a simple exponential curve fit of the form ' y = A*exp(B*x)' using least squares.
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extval_frechet |
Calculates the probability (PDF) and cumulative (CDF) distribution functions of the Frechet Type II distribution given the shape, scale and location parameters.
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extval_gev |
Calculates the probability (PDF) and cumulative (CDF) distribution functions of the Generalized Extreme Value (GEV) distribution given the shape, scale and location parameters.
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extval_gumbel |
Calculates the probability (PDF) and cumulative (CDF) distribution functions of the Gumbel (Type I) distribution function given the scale and location parameters.
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extval_mlegam |
Estimates the location, shape, scale and other parameters for the Gamma distribution using maximum-likelihood estimation (MLE).
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extval_mlegev |
Estimates the shape, scale and location parameters for the Generalized Extreme-Value (GEV) distribution using Maximum-Likelihood Estimation (MLE).
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extval_pareto |
Calculates the probability (PDF) and cumulative (CDF) distribution functions of the Pareto distributions (Generalized, Type I, TYpe II) given the shape, scale and location parameters.
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extval_recurrence_table |
Calculates the recurrence interval (return period), cumulative and exceedence probabilities based upon a time series.
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extval_return_period |
Calculates the period of an event (eg, flood, heat wave, drought) occurring given an average event recurrence interval and specified probability level.
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extval_return_prob |
Calculates the probability of an event (eg, flood, heat wave, drought) given an average event interval and a specified exceedance period.
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extval_weibull |
Calculates the probability (PDF) and cumulative (CDF) distribution functions of the Weibull Type III distribution given the shape, scale and location parameters.
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ftest |
Applies F-test for variances and returns an estimate of the statistical significance.
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genNormalDist |
Generates a normal distribution.
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kde_n_test |
Uses gaussian kernel density estimation (KDE) to estimate the probability density function of a random variable. This function is under construction and is available for testing only. It may not be released with NCL V6.5.0.
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kmeans_as136 |
Performs k-means clustering via the Hartigan and Wong AS-136 algorithm.
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kolsm2_n |
Uses the Kolmogorov-Smirnov two-sample test to determine if two samples are from the same distribution.
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max |
Computes the maximum value of a multi-dimensional array.
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min |
Computes the minimum value of a multi-dimensional array.
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pattern_cor |
Compute centered or uncentered pattern correlation.
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pdfxy |
Generates a joint probability density distribution. (Please use pdfxy_conform.)
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pdfxy_bin |
Performs looping necessary to calculate the bivariate (joint) probability distribution (see pdfxy).
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pdfxy_conform |
An interface to pdfxy that allows the input arrays to be different sizes.
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regcoef |
Calculates the linear regression coefficient between two variables.
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regCoef |
Calculates the linear regression coefficient between two variables.
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regCoef_n |
Calculates the linear regression coefficient between two variables on the given dimensions.
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regline |
Calculates the linear regression coefficient between two series.
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regline_weight |
Calculates the linear regression coefficient between two series where one variable is weighted by some measure of uncertainty.
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spcorr |
Computes Spearman rank order correlation (Rho) correlation coefficient.
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spcorr_n |
Computes Spearman rank order correlation (Rho) correlation coefficient across the given dimension.
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stat2 |
Calculates the first two moments of the given input.
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stat4 |
Calculates estimates of the first four moments (mean, variance, skewness, and kurtosis) of the given input.
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stat_dispersion |
Computes a number of robust statistics.
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stat_medrng |
Calculates median, range, and mid-range of the given input.
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stat_trim |
Calculates trimmed estimates of the first two moments of the given input.
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stddev |
Calculates the sample standard deviation.
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student_t |
Calculates the two-tailed probability of the Student-t distribution.
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taylor_stats |
Calculates statistics needed for the Taylor Diagram: pattern_correlation, ratio and bias.
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trend_manken |
Calculates Mann-Kendall non-parametric test for monotonic trend and the Theil-Sen robust estimate of linear trend.
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ttest |
Returns an estimate of the statistical significance and, optionally, the t-values.
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unwrap_phase |
Unwrap (correct) phase angles to produce smoother phase plots.
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variance |
Computes an unbiased estimate the variance of all input points.
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weibull |
Derives the shape and scale parameters for the Weibull distribution via maximum likelihood estimates.
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zscore |
Computes the zscore of a variable's given dimensions at all other dimensions and retains metadata.
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