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About 10,000 papers for “Correlation”

easystats/correlation: correlation 0.8.6

Dominique Makowski, Indrajeet Patil, Daniel et al. · Zenodo (CERN European Organization for Nuclear Research) · 2024

Fix CRAN check issues.

Cited by 0Open access

Correlation matrix (correlation coefficients).

Reza Mousavi (12155791), Bin Gu (223694) · Figshare · 2024

<div><p>In the current polarized political climate, citizens frequently face conflicting directives from their local and federal government officials. For instance, on April 16<sup>th</sup>, 2020, The White House launched the “Opening up America Again” (OuAA) campaign while many U.S. counties had stay-at-home orders. We created a panel data set of U.S. counties to study the impact of U.S. counties’ stay-at-home orders on community mobility before and after The White House’s campaign to reopen the country. Our results suggest that before the OuAA campaign, stay-at-home orders substantially decreased the time spent in retail and recreation businesses. However, after the launch of the OuAA campaign, the time spent at retail and recreational businesses in a typical conservative county increased significantly more than in liberal counties (23% increase in a typical conservative county vs. 9% increase in a typical liberal county). We also found that in conservative counties with stay-at-home orders, time spent at retail and recreational businesses increased less than in those without stay-at-home orders. These findings illuminate that when federal and local government policies are at odds, residents decide which policies to adhere to based on the alignment between their political ideology and the government body. Our findings highlight the substantial importance of each government body in forming citizens’ behaviors, offering practical implications for policy makers during natural disasters.</p></div>

Cited by 0Open access

Explicit-correlation Geminal basis set Correlation factor Correlation energy

Sebastian Höfener A, David P. Tew A, Trygve Helgaker B · 2008

a b s t r a c t In 1985 Kutzelnigg showed that a large percentage of the electron correlation energy for helium can be recovered using a single explicitly correlated basis function, chosen to fit the cusp at the correlation hole. In particular the simple wave functionW ð1þ 12 r12ÞU returned more than 80 % of the correlation energy. In this paper we return to Kutzelnigg’s simple ansatz and remove the conventional double excitations in explicitly correlated CC2 theory (denoted as CCS(F12)), applying all established developments in modern F12 theory, such as replacing linear r12 with f(r12) = exp(%cr12) and the use of auxiliary basis sets for the standard RI approximation in R12 theory. Analysing different approximations we show that in general the CCS(F12) approach yields 80–95 % of the CC2 correlation energy, which is astonishingly large consid-ering the small number and restricted form of the geminal basis functions.! 2008 Elsevier B.V. All rights reserved.

Cited by 0

Correlation plot (Pearson correlation – histogram).

Moïse Pierre Exélis (21578515), Rosli Ramli (3809365), Roslinazairimah Zakaria (21578518) et al. · Figshare · 2025

The correlation plot shows the relationship between the number of emerging queens, rainfall intensity (mm/h), and relative humidity (RH%). There is a strong positive correlation between the total number of queens, rainfall intensity, and humidity. As rainfall intensity and humidity increase, so does the number of queens. The red points represent the mean values.

Cited by 0Open access

Correlation coefficient and electron correlation

Frederick W. King, Stuart M. Rothstein · Physical review. A, General physics · 1980

The correlation coefficient which is used in mathematical statistics is evaluated for an exactly soluble electron correlation problem. Our results show that a wave function with a very "negative" correlation coefficient is not necessarily energetically (hence variationally) a good approximation to the exact wave function. We discuss the importance of this result vis-a-vis the notion in the literature that the correlation coefficient provides a useful tool for analyzing approximate wave functions.

Cited by 9

correlation: Methods for Correlation Analysis

Dominique Makowski, Brenton M. Wiernik, Indrajeet Patil et al. · 2020

Lightweight package for computing different kinds of correlations, such as partial correlations, Bayesian correlations, multilevel correlations, polychoric correlations, biweight correlations, distance correlations and more. Part of the 'easystats' ecosystem. References: Makowski et al. (2020) &lt;<a href="https://doi.org/10.21105%2Fjoss.02306" target="_top">doi:10.21105/joss.02306</a>&gt;.

Cited by 26Open access

Correlation and Pearson’s correlation coefficients.

Stephanie J. Valberg (8501334), Amanda K. Borer Matsui (8501337), Anna M. Firshman (8501340) et al. · Figshare · 2020

&lt;p&gt;A. Mean US measures of two sites in lumbar muscle and one site over the middle gluteal muscle compared to body weight. B. Mean US values for the three muscle depths compared to torso V. C. Mean US values for the three muscle depths compared to hindquarter (HQ) V. D. Positive correlation of middle gluteal ultrasound depth with torso V. E. Positive correlation of middle gluteal ultrasound depth with HQ V. F. Positive correlation of tail head fat to torso V. * P&lt;0.05, ** P&lt;0.01, ***P&lt;0.001.&lt;/p&gt;

Cited by 0Open access

Correlation sum and correlation function.

Segun Goh (531106), Keumsook Lee (531107), MooYoung Choi (531108) et al. · Figshare · 2015

&lt;p&gt;(a) Correlation sum of bus stops versus distance on the logarithmic scale. Also drawn are lines of slope 1.06 and slope 1.78, which correspond to the geographical dimension depending on the length scale. (b) Strength correlation function versus time distance on the logarithmic scale. For comparison, a straight line of slope is also shown.&lt;/p&gt;

Cited by 0Open access

Correlation

Timothy S Carsel · OSF Preprints (OSF Preprints) · 2020

Cited by 0

Correlation

Michael H. Herzog, Gregory Francis, Aaron Clarke · Learning materials in biosciences · 2019

In Chaps. 3 and 6 we investigated the effect of latitude on tree height by measuring trees at 2 and 3 locations, respectively, and testing for differences in mean heights. As we will see, a better way to answer this question involves testing tree heights at even more locations of latitude. Computing an ANOVA is not a good idea for this situation because the ANOVA does not take the ratio scale properties of the latitude into account. The ANOVA treats each location as nominal (see Chap. 7 ). Correlations allow us to include the ratio scale aspect of the information and thereby summarize the effect of latitude into one value, r.

Cited by 4Open access

Correlation

(Author Name Not Available) · Synapse · 2015

Cited by 0Open access