See internal symbols too

Package Cl-Mathstats uses the packages Common-Lisp, Metabang.Cl-Containers and Metabang.Utilities. It is also known as Metabang.Math. It has 821 total symbols and 137 external ones.

+0degrees+ | |
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+10degrees+ | |

+120degrees+ | |

+135degrees+ | |

+150degrees+ | |

+15degrees+ | |

+180degrees+ | |

+210degrees+ | |

+225degrees+ | |

+240degrees+ | |

+270degrees+ | |

+300degrees+ | |

+30degrees+ | |

+315degrees+ | |

+330degrees+ | |

+360degrees+ | |

+45degrees+ | |

+5degrees+ | |

+60degrees+ | |

+90degrees+ | |

+e+ | An approximation of the constant e (named for Euler!). |

2fpi | The constant 2*pi, in single-float format. Using this constant avoid |

fpi | The constant pi, in single-float format. Using this constant avoid |

anova-one-way-variables | anova-one-way-variables (iv dv &optional (scheffe-tests-p t) |
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anova-two-way-variables | anova-two-way-variables (dv iv1 iv2) |

anova-two-way-variables-unequal-cell-sizes | anova-two-way-variables-unequal-cell-sizes (iv1 iv2 dv) |

autocorrelation | autocorrelation (sample max-lag &optional (min-lag 0)) |

beta | Returns the value of the Beta function, defined in terms of the complete |

beta-incomplete | This function is useful in defining the cumulative distributions for |

binomial-cdf | Suppose an event occurs with probability `p' per trial. This function |

binomial-cdf-exact | This is an exact but computationally intensive form of the preferred |

binomial-coefficient | Returns the binomial coefficient, |

binomial-coefficient-exact | This is an exact but computationally intensive form of the preferred |

binomial-probability | Returns the probability of |

binomial-probability-exact | This is an exact but computationally intensive form of the preferred |

chi-square-significance | Computes the complement of the cumulative distribution function for a |

combination-count | Returns the number of combinations of n elements taken k at a time. Assumes valid |

confidence-interval | confidence-interval nil |

confidence-interval-proportion | confidence-interval-proportion (x n confidence) |

confidence-interval-t | confidence-interval-t (data confidence) |

confidence-interval-t-summaries | This function is just like `confidence-interval-t,' except that instead of |

confidence-interval-z | confidence-interval-z (data confidence) |

correlation | correlation (sample1 sample2 &key start1 end1 start2 end2) |

correlation-from-summaries | Computes the correlation of two variables given summary statistics of the |

correlation-matrix | Returns a matrix of all the correlations of all the variables. The dependent |

covariance | covariance (sample1 sample2 &key start1 end1 start2 end2) |

cross-correlation | cross-correlation (sequence1 sequence2 max-lag &optional (min-lag 0)) |

d-test | d-test (sample-1 sample-2 tails &key (times 1000) (h0mean 0)) |

data-length | data-length (data &key start end key) |

degrees->radians | Convert degrees to radians. |

div2 | Divide positive fixnum `i' by 2 or a power of 2, yielding an integer result. |

ensure-float | |

error-function | Computes the error function, which is typically used to compute areas under |

error-function-complement | This function computes the complement of the error function, |

exp2 | 2^n |

extract-unique-values | A faster version of `remove-duplicates'. Note you cannot specify a :TEST (it is always #'eq). |

f-measure | Returns the f-measure, the combination of precision and recall based on |

f-significance | This function occurs in the statistical test of whether two observed samples |

factorial | Returns the factorial of `n,' which should be a non-negative integer. The |

factorial-exact | Returns the factorial of `n,' which should be an integer. The result will |

factorial-ln | Returns the natural logarithm of n!; `n' should be an integer. The result |

gamma-incomplete | This is an incomplete gamma function, what Numerical Recipes in C calls |

gamma-ln | Returns the natural logarithm of the Gamma function evaluated at `x.' |

gaussian-cdf | Computes the cumulative distribution function for a Gaussian random variable |

gaussian-significance | Computes the significance of |

interquartile-range | interquartile-range (data) |

lagged-correlation | Returns the correlations of |

linear-regression-brief | Calculates the main statistics of a linear regression: the slope and |

linear-regression-brief-summaries | Calculates the main statistics of a linear regression: the slope and |

linear-regression-minimal | Calculates the slope and intercept of the regression line. This function |

linear-regression-minimal-summaries | Calculates the slope and intercept of the regression line. This function |

linear-regression-verbose | Calculates almost every statistic of a linear regression: the slope and |

linear-regression-verbose-summaries | Calculates almost every statistic of a linear regression: the slope and |

linear-scale | Rescales value linearly from the old-min/old-max scale to the new-min/new-max one. |

log2 | Log of `n' to base 2. |

matrix-multiply | Does successive multiplications of each element in `args'. If two |

matrix-trace | |

maximum | maximum (data &key start end key) |

mean | mean (data &key start end key) |

median | median (data &key start end key) |

minimum | minimum (data &key start end key) |

mod2 | Find `n' mod a power of 2. |

mode | mode (data &key start end key) |

multiple-linear-regression-arrays | This is an internal function for the use of the multiple-linear-regression |

multiple-linear-regression-brief | Let m be the number of independent variables, `ivs.' This function returns a |

multiple-linear-regression-minimal | Let m be the number of independent variables, `ivs.' This function returns |

multiple-linear-regression-normal | Performs linear regression of the dependent variable, |

multiple-linear-regression-verbose | Let m be the number of independent variables, `ivs.' This function returns |

multiple-modes | multiple-modes (data k &key start end key) |

normalize-matrix | Returns a new matrix such that the sum of its elements is 1.0 |

on-interval | returns t iff x in the interval |

partials-from-parents | |

permutation-count | Returns the number of possible ways of taking k elements out of n total. |

poisson-cdf | Computes the cumulative distribution function for a Poisson random variable |

quantile | quantile (data q &key start end key) |

r-score | Takes two sequences and returns the correlation coefficient. |

radians->degrees | Convert radians to degrees. Does not round the result. |

range | range (data &key start end key) |

round-to-factor | Equivalent to (* factor (round n factor)). For example, `round-to-factor' of |

safe-exp | Eliminates floating point underflow for the exponential function. |

scheffe-tests | Performs all pairwise comparisons between group means, testing for |

significance | significance nil |

skewness | skewness (data &key start end key) |

smooth-hanning | Smooths `data' by replacing each element with the weighted mean of it and its |

smooth-mean-2 | With a window of size two, the median and mean smooth functions are the |

smooth-mean-3 | Smooths `data' by replacing each element with the mean of it and its two |

smooth-mean-4 | Smooths `data' by replacing each element with the mean of it, its left |

smooth-mean-5 | Smooths `data' by replacing each element with the median of it, its two left |

smooth-median-2 | Smooths `data' by replacing each element with the median of it and its |

smooth-median-3 | Smooths `data' by replacing each element with the median of it and its two |

smooth-median-4 | Smooths `data' by replacing each element with the median of it, its left |

smooth-median-5 | Smooths `data' by replacing each element with the median of it, its two left |

square | |

standard-deviation | standard-deviation (data &key start end key) |

statistical-summary | statistical-summary (data &key start end key) |

students-t-significance | Student's distribution is much like the Gaussian distribution except with |

sum-of-array-elements | |

t-significance | t-significance nil |

t-test | t-test (sample-1 sample-2 &optional (tails both) (h0mean 0)) |

t-test-matched | t-test-matched (sample1 sample2 &optional (tails both)) |

t-test-one-sample | t-test-one-sample (data tails &optional (h0-mean 0) &key start end key) |

times2 | Multiply `i' by a power of 2. |

transpose-matrix | |

trimmed-mean | trimmed-mean (data percentage &key start end key) |

trunc2 | Truncate `n' to a power of 2. |

truncate-to-factor | Equivalent to (* factor (truncate n factor)). For example, |

tukey-summary | tukey-summary (data &key start end key) |

variance | variance (data &key start end key) |

z-test-one-sample | z-test-one-sample (data tails &optional (h0-mean 0) (h0-std-dev 1) &key |

convert | |
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cross-product | |

dot-product | http://en.wikipedia.org/wiki/Dot_product |

underflow-goes-to-zero | Protects against floating point underflow errors and sets the value to 0.0 instead. |
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with-temp-table | Binds `temp' to a hash table. |

with-temp-vector | Binds |