default | /src/logit.js | simplestatistic@v7.7.1

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simple statistics for node & browser javascript

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bisect.d.ts

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chi_squared_distribution_table.d.ts

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chi_squared_distribution_table.js

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chi_squared_goodness_of_fit.d.ts

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coefficient_of_variation.d.ts

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combine_variances.d.ts

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cumulative_std_logistic_probability.d.ts

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cumulative_std_logistic_probability.js

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cumulative_std_normal_probability.d.ts

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cumulative_std_normal_probability.js

equal_interval_breaks.d.ts

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equal_interval_breaks.js

euclidean_distance.js

interquartile_range.d.ts

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inverse_error_function.d.ts

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kernel_density_estimation.d.ts

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kernel_density_estimation.js

linear_regression.d.ts

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linear_regression.js

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linear_regression_line.d.ts

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median_absolute_deviation.d.ts

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permutation_test.d.ts

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permutations_heap.d.ts

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permutations_heap.js

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poisson_distribution.d.ts

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poisson_distribution.js

quantile_rank_sorted.d.ts

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quantile_rank_sorted.js

root_mean_square.d.ts

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sample_correlation.js

sample_covariance.d.ts

sample_rank_correlation.d.ts

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sample_rank_correlation.js

sample_skewness.d.ts

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sample_skewness.js

sample_standard_deviation.d.ts

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sample_standard_deviation.js

sample_variance.d.ts

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sample_variance.js

sample_with_replacement.d.ts

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sample_with_replacement.js

shuffle_in_place.d.ts

silhouette_metric.d.ts

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silhouette_metric.js

standard_deviation.d.ts

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standard_deviation.js

standard_normal_table.d.ts

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standard_normal_table.js

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subtract_from_mean.d.ts

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subtract_from_mean.js

sum_nth_power_deviations.d.ts

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sum_nth_power_deviations.js

t_test_two_sample.d.ts

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t_test_two_sample.js

unique_count_sorted.d.ts

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unique_count_sorted.js

wilcoxon_rank_sum..d.ts

function default

import { default } from "https://deno.land/x/simplestatistic@v7.7.1/src/logit.js";

default(p)

The Logit is the inverse of cumulativeStdLogisticProbability, and is also known as the logistic quantile function.

Parameters