kuiper test package r|CRAN: Package kuiper.2samp : China The Kuiper test compares two ECDFs by looking at the maximum positive and negative difference between them. Formally – if E is the ECDF of sample 1 and F is the ECDF of sample 2, then KUIPER = |max_x E(x)-F(x)|^p + |max_x F(x) .
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kuiper.test function
Performs Kuiper's one-sample test of uniformity on the circle.
Kuiper's test statistic is a rotation-invariant Kolmogorov-type test statistic. The critical values of a modified Kuiper's test statistic are used according to the tabulation given in .
Kuiper Test of Circular Uniformity Description. Kuiper's test statistic is a rotation-invariant Kolmogorov-type test statistic. The critical values of a modified Kuiper's test statistic .
This function performs the two-sample Kuiper test to assess the anomaly of continuous, one-dimensional probability distributions. References used for this method are (1). .This function performs the two-sample Kuiper test to assess the anomaly of continuous, one-dimensional probability distributions. References used for this method are (1).The Kuiper test compares two ECDFs by looking at the maximum positive and negative difference between them. Formally – if E is the ECDF of sample 1 and F is the ECDF of sample 2, then KUIPER = |max_x E(x)-F(x)|^p + |max_x F(x) .
Kuiper's test statistic is a rotation-invariant Kolmogorov-type test statistic. The critical values of a modified Kuiper's test statistic are used according to the tabulation given in Stephens (1970).Description. Performs Kuiper's one-sample test of uniformity on the circle. Usage. kuiper.test(x, alpha=0) ## S3 method for class 'kuiper.test' print(x, digits = 4, .) Arguments. Details. .
Kuiper's test statistic is a rotation-invariant Kolmogorov-type test statistic. The critical values of a modified Kuiper's test statistic are used according to the tabulation given in Stephens (1970). Value. Kuiper test statistic and p-value Note. The computation of the p-value takes references from Paltani(2004) which states that the functions (in the set of four formulas) never underestimates the false positive probability however it can be a bit high when the sample size in the range of 40 to 50 a factor of 1.5 is quoted at the 1e-7 level Kuiper Test of Circular Uniformity Description. Kuiper's test statistic is a rotation-invariant Kolmogorov-type test statistic. The critical values of a modified Kuiper's test statistic are used according to the tabulation given in Stephens (1970). Usage kuiper_test(x, alpha = 0, axial = TRUE) ArgumentsTwo-Sample Kuiper Test Description This function performs the two-sample Kuiper test to assess the anomaly of continuous, one-dimensional probability distributions.
Kuiper Test of Circular Uniformity Description. Kuiper's test statistic is a rotation-invariant Kolmogorov-type test statistic. The critical values of a modified Kuiper's test statistic are used according to the tabulation given in Stephens (1970). Usage kuiper_test(x, alpha = 0, axial = TRUE) ArgumentsDocumentation for package ‘kuiper.2samp’ version 1.0. DESCRIPTION file. Help Pages. kuiper.2samp: 2-sample Kuiper Test Function: performs Kuiper Test for two sets samples of observations .The kuiper.2samp package in R offers a two-sample Kuiper test. This package is used for comparing the equality of continuous distribution functions. Title: Two-Sample Kuiper Test; Description: This function performs the two-sample Kuiper test to assess the anomaly of continuous, one-dimensional probability distributions. References used for .I am trying to implement a kuiper's test on a set of data and looking for an R package (or other program) that can give a p-value without monte carlo simulation or only a range of p-values. All of the packages (listed below) either give ranges of p-values or simulate (very limited because of time for simulation).
kuiper.test : Kuiper's Test
kuiper.2samp package
This function performs the two-sample Kuiper test to assess the anomaly of continuous, one-dimensional probability distributions. References used for this method are (1). . Install the latest version of this package by entering the following in R: install.packages("kuiper.2samp") Try the kuiper.2samp package in your browser Run. Any .:exclamation: This is a read-only mirror of the CRAN R package repository. kuiper.2samp — Two-Sample Kuiper Test - GitHub - cran/kuiper.2samp: :exclamation: This is a read-only mirror of the CRAN R package repository. kuiper.2samp — Two-Sample Kuiper Test Contains functions to compute p-values for the one-sample and two-sample Kolmogorov-Smirnov (KS) tests and the two-sample Kuiper test for any fixed critical level and arbitrary (possibly very large) sample sizes. For the one-sample KS test, this package implements a novel, accurate and efficient method named Exact-KS-FFT, which allows the pre .
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Details. If dist = "uniform", Watson's one-sample test for the circular uniform distribution is performed, and the results are printed. If alpha is specified and non-zero, the test statistic is printed along with the critical value and decision. If alpha is omitted, the test statistic is printed and a range for the p-value of the test is given. The package also includes the function ks_c_cdf_Rcpp which gives the flexibility to compute the complementary cdf (p-value) for the one-sided KS test statistics D_{n}^{-} or D_{n}^{+}. It also allows for faster computation time and possibly higher accuracy in computing P(D_{n} \ge q). Two-sample KS test and Kuiper test:It also shows the results of statistical tests like the Chi-squared test and the Mantissa Arc test. The package provides some helper functions to further investigate the data. For example, you can easily extract the observations with the largest discrepancies by using the getSuspects function. suspects <- getSuspects(bfd.cp, corporate.payment . Performs Kuiper's one-sample test of uniformity on the circle. rdrr.io Find an R package R language docs Run R in your browser. CircStats Circular Statistics, from "Topics in Circular Statistics" (2001) . MASS Loading required package: boot Kuiper 's Test of Uniformity Test Statistic: 1.1064 P-value > 0.15 Kuiper' s Test of Uniformity Test .
Contains functions to compute p-values for the one-sample and two-sample Kolmogorov-Smirnov (KS) tests and the two-sample Kuiper test for any fixed critical level and arbitrary (possibly very large) sample sizes. For the one-sample KS test, this package implements a novel, accurate and efficient method named Exact-KS-FFT, which allows the pre-specified cumulative distribution . The Google of R packages. kuiper.2samp R package. Search and compare packages. Check out how an R package is doing. How to install r package from github.Package ‘kuiper.2samp’ October 13, 2022 Title Two-Sample Kuiper Test Version 1.0 Author Ying Ruan [aut, cre] Maintainer Ying Ruan Description This function performs the two-sample Kuiper test to assess the anomaly of continu-ous, one-dimensional probability distributions. Refer-ences used for this method are (1).
We would like to show you a description here but the site won’t allow us.Contains functions to compute p-values for the one-sample and two-sample Kolmogorov-Smirnov (KS) tests and the two-sample Kuiper test for any fixed critical level and arbitrary (possibly very large) sample sizes. For the one-sample KS test, this package implements a novel, accurate and efficient method named Exact-KS-FFT, which allows the pre-specified cumulative distribution .This package includes functions for the analysis and evaluation of aquifer tests (pumping tests, slug tests and constant head tests) in different types of aquifers (confined, leaky, unconfined and fractured). The estimation of the hydraulic parameters (Transmisvity and Storage coefficient) is obtained using a combination of nonlinear least-squares, optimization and bayesian methods . In R, the two-sample Kuiper test can be performed using the "kuiper.test" function from the "ks" package. This function takes in two vectors of data as input and returns the test statistic, p-value, and a plot of the cumulative distribution functions of the two samples.
kuiper
For the Watson and Kuiper test, we use the function watson.test and kuiper.test, respectively, both provided in circular. For the Rao spacing test, we use the function rao.spacing.test (package circular) for continuous data as well as the general simulation method described in Landler et al. and summarized as follows: R/kuiper.test.R defines the following functions: rdrr.io Find an R package R language docs Run R in your browser. circular Circular Statistics. Package index. Search the circular package. Vignettes. Package overview Functions. 205. Source code. 106. Man pages. 121. A1: Ratio of First and .
The package also includes the function ks_c_cdf_Rcpp which gives the flexibility to compute the complementary cdf (p-value) for the one-sided KS test statistics D_{n}^{-} or D_{n}^{+}. It also allows for faster computation time and possibly higher accuracy in computing P(D_{n} \ge q). Two-sample KS test and Kuiper test: A vector with two elements, the value of the test statistic and its associated p-value. Author(s) Michail Tsagris R implementation and documentation: Michail Tsagris References. Jammalamadaka, S. Rao and SenGupta, A. (2001). Topics in Circular Statistics, pg. 153-55 (Kuiper's test) & 156-157 (Watson's test). See Also
circular: kuiper.test – R documentation – Quantargo
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kuiper test package r|CRAN: Package kuiper.2samp