|
abs |
Returns the absolute value of numeric data.
|
|
acos |
Computes the inverse cosine of numeric types.
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|
asin |
Computes the inverse sine of numeric types.
|
|
atan |
Computes the inverse tangent of numeric types.
|
|
atan2 |
Computes the inverse tangent of (y/x) for numeric types.
|
|
avg |
Computes the average of a variable regardless of dimensionality.
|
|
betainc |
Evaluates the incomplete beta function.
|
|
bw_bandpass_filter |
Applies a Butterworth bandpass filter optimized for narrow bandwidths to time series.
|
|
calculate_daily_values |
Calculate daily values [avg, sum, min, max] from high frequency temporal values.
|
|
calculate_monthly_values |
Calculate monthly values [avg, sum, min, max] from high frequency temporal values.
|
|
calculate_segment_values |
Calculate segment (eg, pentad [5-day], weekly [7-day]) values from high frequency temporal values.
|
|
cancor |
Performs canonical correlation analysis between two sets of variables.
|
|
cdft_p |
Calculates the one-sided probability given a t-value and the degrees of freedom.
|
|
cdft_t |
Calculates the t-value given the one-sided probability and the degrees of freedom.
|
|
ceemdan |
Complete Ensemble Empirical Mode Decomposition with Adaptive Noise.
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|
ceil |
Returns the smallest integral value greater than or equal to each input value.
|
|
center_finite_diff |
Performs a centered finite difference operation on the rightmost dimension.
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|
center_finite_diff_n |
Performs a centered finite difference operation on the given dimension.
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|
cfftb |
Performs a backward complex discrete fourier transform [Fourier Synthesis].
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|
cfftf |
Performs a forward complex discrete fourier transform of a real periodic sequence.
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|
cfftf_frq_reorder |
Reorders the data returned by cfftf.
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|
chiinv |
Evaluates the inverse chi-squared distribution function.
|
|
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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|
cos |
Computes the cosine of numeric types.
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cosh |
Computes the hyperbolic cosine of numeric types.
|
|
covcorm |
Calculates a covariance or correlation matrix.
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|
covcorm_xy |
Calculates a covariance or correlation matrix given two separate 'n x m' arrays.
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|
cumsum |
Calculates the cumulative sum.
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|
decimalPlaces |
Truncates or rounds to the number of decimal places specified.
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|
demod_cmplx |
Perform a complex demodulation on a time series.
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|
determinant |
Calculate the determinant of a small square real matrix using a partial-pivoting Gaussian elimination scheme.
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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.
|
|
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_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.
|
|
dim_num |
Calculates the number of True values of a variable's rightmost dimension at all other dimensions.
|
|
dim_num_n |
Calculates the number of True values of a variable's given dimensions at all other dimensions.
|
|
dim_numrun_n |
Counts the number of "runs" (sequences) within a series containing zeros and ones.
|
|
dim_pqsort |
Computes the permutation vector generated by sorting the n - 1th (rightmost) dimension.
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|
dim_pqsort_n |
Computes the permutation vector generated by sorting the given dimension.
|
|
dim_product |
Computes the product of a variable's rightmost dimension at all other dimensions.
|
|
dim_product_n |
Computes the product of a variable's given dimension(s) at all other dimensions.
|
|
dim_rmsd |
Computes the root-mean-square-difference between two variables' rightmost dimension at all other dimensions.
|
|
dim_rmsd_n |
Computes the root-mean-square-difference between two variables' given dimensions at all other dimensions.
|
|
dim_rmsd_n_Wrap |
Computes the root-mean-square-difference between two variables' given dimensions at all other dimensions.
|
|
dim_rmsd_Wrap |
Computes the root-mean-square-difference between two variables' rightmost dimension at all other dimensions.
|
|
dim_rmvmean |
Calculates and removes the mean of the (rightmost) dimension at all other dimensions.
|
|
dim_rmvmean_n |
Calculates and removes the mean of the given dimension(s) at all other dimensions.
|
|
dim_rmvmean_n_Wrap |
Calculates and removes the mean of the given dimensions at all other dimensions and retains metadata.
|
|
dim_rmvmean_Wrap |
Calculates and removes the mean of the (rightmost) dimension at all other dimensions and retains metadata.
|
|
dim_rmvmed |
Calculates and removes the median of the (rightmost) dimension at all other dimensions.
|
|
dim_rmvmed_n |
Calculates and removes the median of the given dimension(s) at all other dimensions.
|
|
dim_rmvmed_n_Wrap |
Calculates and removes the median of the given dimensions at all other dimensions and retains metadata.
|
|
dim_rmvmed_Wrap |
Calculates and removes the median of the (rightmost) dimension at all other dimensions and retains metadata.
|
|
dim_standardize |
Calculates standardized anomalies of the rightmost dimension at all other dimensions.
|
|
dim_standardize_n |
Calculates standardized anomalies of the given dimension(s) at all other dimensions.
|
|
dim_standardize_n_Wrap |
Calculates standardized anomalies of the given dimensions at all other dimensions and retains metadata.
|
|
dim_standardize_Wrap |
Calculates standardized anomalies of the rightmost dimension at all other dimensions and retains metadata.
|
|
dim_stat4 |
Computes the first four moments (average, sample variance, skewness, and kurtosis) of the rightmost dimension for all other dimensions.
|
|
dim_stat4_n |
Computes the first four moments (average, sample variance, skewness, and kurtosis) of the given dimension(s) for all other dimensions.
|
|
dim_stddev |
Computes the sample standard deviation of a variable's rightmost dimension at all other dimensions.
|
|
dim_stddev_n |
Computes the sample standard deviation of a variable's given dimension(s) at all other dimensions.
|
|
dim_stddev_n_Wrap |
Computes the sample standard deviation of a variable's given dimension(s) at all other dimensions and retains metadata.
|
|
dim_stddev_Wrap |
Computes the sample standard deviation of a variable's rightmost dimension at all other dimensions and retains metadata.
|
|
dim_sum |
Computes the arithmetic sum of a variable's rightmost dimension at all other dimensions.
|
|
dim_sum_n |
Computes the arithmetic sum of a variable's given dimension(s) at all other dimensions.
|
|
dim_sum_n_Wrap |
Computes the arithmetic sum of a variable's given dimensions at all other dimensions and retains metadata.
|
|
dim_sum_wgt |
Computes the weighted sum of a variable's rightmost dimension at all other dimensions.
|
|
dim_sum_wgt_n |
Computes the weighted sum of a variable's given dimension at all other dimensions.
|
|
dim_sum_wgt_n_Wrap |
Computes the weighted sum of a variable's given dimension at all other dimensions and retains metadata.
|
|
dim_sum_wgt_Wrap |
Computes the weighted sum of a variable's rightmost dimension at all other dimensions and retains metadata.
|
|
dim_sum_Wrap |
Computes the arithmetic sum of a variable's rightmost dimension at all other dimensions and retains metadata.
|
|
dim_variance |
Computes the unbiased estimates of the variance of a variable's rightmost dimension.
|
|
dim_variance_n |
Computes the unbiased estimates of the variance of a variable's given dimension(s) at all other dimensions.
|
|
dim_variance_n_Wrap |
Computes unbiased estimates of the variance of a variable's given dimension(s) at all other dimensions and retains metadata.
|
|
dim_variance_Wrap |
Computes unbiased estimates of the variance of a variable's rightmost dimension at all other dimensions and retains metadata.
|
|
dtrend |
Estimates and removes the least squares linear trend of the rightmost dimension from all grid points.
|
|
dtrend_leftdim |
Estimates and removes the least squares linear trend of the leftmost dimension from all grid points and retains metadata.
|
|
dtrend_msg |
Estimates and removes the least squares linear trend of the rightmost dimension from all grid points (missing values allowed).
|
|
dtrend_msg_n |
Estimates and removes the least squares linear trend of the dim-th dimension from all grid points (missing values allowed).
|
|
dtrend_n |
Estimates and removes the least squares linear trend of the given dimension from all grid points.
|
|
dtrend_quadratic |
Estimates and removes the least squares quadratic trend of the rightmost dimension from all grid points.
|
|
dtrend_quadratic_msg_n |
Estimates and removes the least squares quadratic trend of the dim-th dimension from all grid points (missing values allowed).
|
|
eemd |
Perform ensemble empirical mode decomposition (EEMD).
|
|
equiv_sample_size |
Estimates the number of independent values in a series of correlated values.
|
|
erf |
Evaluates the real error function.
|
|
erfc |
Evaluates the real complementary error function.
|
|
esacr |
Computes sample auto-correlations.
|
|
esacr_n |
Computes sample auto-correlations on the given dimension.
|
|
esacv |
Computes sample auto-covariances
|
|
esccr |
Computes sample cross-correlations.
|
|
esccv |
Computes sample cross-covariances.
|
|
escorc |
Computes the (Pearson) sample linear cross-correlations at lag 0 only.
|
|
escorc_n |
Computes the (Pearson) sample linear cross-correlations at lag 0 only, across the specified dimensions.
|
|
escovc |
Computes sample cross-covariances at lag 0 only.
|
|
exp |
Computes the value of e (the base of natural logarithms) raised to the power of the input.
|
|
exponential_curve_fit |
Calculates the coefficients for a simple exponential curve fit of the form ' y = A*exp(B*x)' using least squares.
|
|
ezfftb |
Perform a Fourier synthesis from real and imaginary coefficients.
|
|
ezfftb_n |
Perform a Fourier synthesis from real and imaginary coefficients on the given dimension.
|
|
ezfftf |
Perform a Fourier analysis on a real periodic sequence.
|
|
ezfftf_n |
Performs a Fourier analysis on a real periodic sequence on the given dimension.
|
|
fabs |
Computes the absolute value of numeric types.
|
|
fft2db |
Performs a two-dimensional discrete backward Fourier transform (Fourier synthesis).
|
|
fft2df |
Performs a two-dimensional forward real discrete Fourier transform (i.e., Fourier analysis) of a real periodic array.
|
|
fftshift |
Rearranges an array in a manner similar to Matlab's fftshift function.
|
|
filwgts_lancos |
Calculates one-dimensional filter weights (deprecated).
|
|
filwgts_lanczos |
Calculates one-dimensional filter weights.
|
|
filwgts_normal |
Calculates one-dimensional filter weights based upon the normal (gaussian) distribution.
|
|
floor |
Returns the largest integral value less than or equal to each input value.
|
|
fourier_info |
Performs Fourier analysis on one or more periodic series.
|
|
ftest |
Applies F-test for variances and returns an estimate of the statistical significance.
|
|
gamma |
Evaluates the complete gamma function.
|
|
gammainc |
Evaluates the incomplete gamma function.
|
|
genNormalDist |
Generates a normal distribution.
|
|
geolocation_circle |
Create latitudes and longitudes that define concentric circles at user specified distances from a central location.
|
|
get_d2r |
Return a constant that converts degrees to radians.
|
|
get_pi |
Return pi as a type float or double.
|
|
get_r2d |
Return a constant that converts radians to degrees.
|
|
inverse_matrix |
Computes the inverse of a general matrix using LU factorization.
|
|
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.
|
|
kf_filter |
Extract equatorial waves by filtering in the Wheeler-Kiladis wavenumber-frequency domain.
|
|
kmeans_as136 |
Performs k-means clustering via the Hartigan and Wong AS-136 algorithm.
|
|
kolsm2_n |
Uses the Kolmogorov-Smirnov two-sample test to determine if two samples are from the same distribution.
|
|
kron_product |
Computes the Kronecker product for two-dimensional matrices.
|
|
linrood_latwgt |
Computes the latitudes and weights used by the Lin-Rood Model.
|
|
linrood_wgt |
Computes the weights used by the Lin-Rood Model.
|
|
local_max |
Determines the relative maxima for a 2-dimensional array.
|
|
local_min |
Determines the relative minima for a 2-dimensional array.
|
|
log |
Computes the natural log of a numeric type.
|
|
log10 |
Computes the log base 10 of a numeric type.
|
|
lspoly |
Calculates a set of coefficients for a weighted least squares polynomial fit to the given data.
|
|
lspoly_n |
Calculates a set of coefficients for a weighted least squares polynomial fit to the given data on the given dimension.
|
|
max |
Computes the maximum value of a multi-dimensional array.
|
|
min |
Computes the minimum value of a multi-dimensional array.
|
|
mod |
Remainder function which emulates the Fortran "mod" intrinsic function.
|
|
NewCosWeight |
Performs cosine of the latitude weighting on the given array.
|
|
pattern_cor |
Compute centered or uncentered pattern correlation.
|
|
pdfx |
Generates a univariate probability density distribution (PDF).
|
|
pdfxy |
Generates a joint probability density distribution. (Please use pdfxy_conform.)
|
|
pdfxy_bin |
Performs looping necessary to calculate the bivariate (joint) probability distribution (see pdfxy).
|
|
pdfxy_conform |
An interface to pdfxy that allows the input arrays to be different sizes.
|
|
product |
Computes the product of the input.
|
|
qsort |
Sorts a singly dimensioned array.
|
|
quadroots |
Determine roots of a quadratic equation [ a*x^2 + b*x + c].
|
|
reg_multlin |
Performs basic multiple linear regression analysis.
|
|
reg_multlin_stats |
Performs multiple linear regression analysis including confidence estimates and creates an ANOVA table.
|
|
regcoef |
Calculates the linear regression coefficient between two variables.
|
|
regCoef |
Calculates the linear regression coefficient between two variables.
|
|
regCoef_n |
Calculates the linear regression coefficient between two variables on the given dimensions.
|
|
regline |
Calculates the linear regression coefficient between two series.
|
|
regline_stats |
Performs simple linear regression including confidence estimates, an ANOVA table and 95% mean response estimates.
|
|
regline_weight |
Calculates the linear regression coefficient between two series where one variable is weighted by some measure of uncertainty.
|
|
rmInsufData |
Sets all instances (i.e., time) of a grid point to missing if a user-prescribed percentage of points is missing.
|
|
round |
Rounds a float or double variable to the nearest whole number.
|
|
run_cor |
Calculates a running correlation.
|
|
runave |
Calculates an unweighted running average on the rightmost dimension.
|
|
runave_n |
Calculates an unweighted running average on the given dimension.
|
|
runave_n_Wrap |
Calculates an unweighted running average on the given dimension and retains metadata.
|
|
runave_Wrap |
Calculates an unweighted running average on the rightmost dimension and retains metadata.
|
|
scale_values |
Scale the values of an array to a user specified range.
|
|
sign_f90 |
Mimic the behavior of Fortran-90's sign transfer function.
|
|
sign_matlab |
Mimic the behavior of Matlab's sign function.
|
|
simpeq |
Integrate a sequence of equally spaced points using Simpson's Rule.
|
|
simpne |
Integrates a sequence of unequally or equally spaced points using Simpson's three-point formula.
|
|
sin |
Computes the sine of numeric types.
|
|
sindex_yrmo |
Calculates the Southern Oscillation Index given two series of year-month values.
|
|
sinh |
Computes the hyperbolic sine of numeric types.
|
|
smth9 |
Performs nine point local smoothing on one or more 2D grids.
|
|
smth9_Wrap |
Performs nine point local smoothing on one or more 2D grids and retains metadata.
|
|
snindex_yrmo |
Calculates the Southern Oscillation Index and the noise index given two series of year-month values.
|
|
solve_linsys |
Computes the solution to a real system of linear equations.
|
|
sparse_matrix_mult |
Multiplies a sparse matrix with a dense matrix.
|
|
spcorr |
Computes Spearman rank order correlation (Rho) correlation coefficient.
|
|
spcorr_n |
Computes Spearman rank order correlation (Rho) correlation coefficient across the given dimension.
|
|
specx_anal |
Calculates spectra of a series.
|
|
specx_ci |
Calculates the theoretical Markov spectrum and the lower and upper confidence curves.
|
|
specxy_anal |
Calculates cross spectra quantities of a series.
|
|
sqrt |
Computes the square root of its input.
|
|
SqrtCosWeight |
Performs square-root of the cosine of the latitude weighting on the given array.
|
|
sqsort |
Sorts a singly dimensioned arrays of strings.
|
|
stat2 |
Calculates the first two moments of the given input.
|
|
stat4 |
Calculates estimates of the first four moments (mean, variance, skewness, and kurtosis) of the given input.
|
|
stat_dispersion |
Computes a number of robust statistics.
|
|
stat_medrng |
Calculates median, range, and mid-range of the given input.
|
|
stat_trim |
Calculates trimmed estimates of the first two moments of the given input.
|
|
stddev |
Calculates the sample standard deviation.
|
|
student_t |
Calculates the two-tailed probability of the Student-t distribution.
|
|
sum |
Sums the input.
|
|
tan |
Computes the tangent of numeric types.
|
|
tanh |
Computes the hyperbolic tangent of numeric types.
|
|
taper |
Applies split-cosine-bell tapering to one or more series across the rightmost dimension.
|
|
taper_n |
Applies split-cosine-bell tapering to one or more series across the given dimension.
|
|
taylor_stats |
Calculates statistics needed for the Taylor Diagram: pattern_correlation, ratio and bias.
|
|
trend_manken |
Calculates Mann-Kendall non-parametric test for monotonic trend and the Theil-Sen robust estimate of linear trend.
|
|
ttest |
Returns an estimate of the statistical significance and, optionally, the t-values.
|
|
unwrap_phase |
Unwrap (correct) phase angles to produce smoother phase plots.
|
|
variance |
Computes an unbiased estimate the variance of all input points.
|
|
wave_number_spc |
Computes the total power spectrum as a function of latitudinal wave number.
|
|
wavelet |
Calculates the wavelet transform of a time series and significance levels.
|
|
wavelet_default |
Calculates the wavelet transform of a time series and significance levels.
|
|
weibull |
Derives the shape and scale parameters for the Weibull distribution via maximum likelihood estimates.
|
|
wgt_area_smooth |
Smooths an array of data using a 5-point 2D area-weighted smoothing algorithm.
|
|
wgt_areaave |
Calculates the area average of a quantity using weights.
|
|
wgt_areaave2 |
Calculates the area average of a quantity using two-dimensional weights.
|
|
wgt_areaave_Wrap |
Calculates the area average of a quantity using weights and retains metadata.
|
|
wgt_arearmse |
Calculates a weighted area root-mean-square-difference between two variables.
|
|
wgt_arearmse2 |
Calculates a weighted area root-mean-square-difference (rmse) between two variables using two-dimensional weights.
|
|
wgt_areasum2 |
Calculates the area sum (total) of a quantity using two-dimensional weights.
|
|
wgt_runave |
Calculates a weighted running average across the rightmost dimension.
|
|
wgt_runave_leftdim |
Calculate a weighted running average over the leftmost dimension (usually, "time") and return in the original order with metadata.
|
|
wgt_runave_n |
Calculates a weighted running average across the given dimension.
|
|
wgt_runave_n_Wrap |
Calculates a weighted running average on the given dimension and retains metadata.
|
|
wgt_runave_Wrap |
Calculates a weighted running average on the rightmost dimension and retains metadata.
|
|
wgt_volave |
Calculates the volume average of a quantity using weights.
|
|
wgt_volave_ccm |
Calculates the volume average of a quantity from the CCM using weights.
|
|
wgt_volrmse |
Calculates a weighted volume root-mean-square-difference between two variables.
|
|
wgt_volrmse_ccm |
Calculates a weighted volume root-mean-square-difference between two variables from the CCM.
|
|
wk_smooth121 |
Performs a specialized 1-2-1 filter for Wheeler-Kiladis plots.
|
|
zonalAve |
Computes a zonal average of the input array.
|
|
zscore |
Computes the zscore of a variable's given dimensions at all other dimensions and retains metadata.
|
