160,532 research outputs found
The Canadian Valley News
No full textWeekly newspaper from Jones, Oklahoma that includes local, territory, and national news along with advertising
Letter, R. L. Keyes to Anna Buchanan, October 1, 1947
No full textIn this letter, dated September 11, 1947, R. L. Keyes writes Anna Buchanan to inform her of her basic salary rate beginning in October and that she will receive a cost of living bonus on September 30. The letter is typed on The Texas Company letterhead.https://scholarsjunction.msstate.edu/mss-james-franklin-buchanan/1006/thumbnail.jp
R Code and Data Supporting: A comparison of survey method efficiency for estimating densities of Zebra Mussels (Dreissena polymorpha)
No full textContains data for three different survey methods (quadrat, removal, and distance-removal) in three central Minnesota Lakes. R code contains methods for formatting and estimating density in all three methods. See readme file for more information.This repository contains data and R code supporting Ferguson et al. A comparison of survey method efficiency for estimating densities of Zebra Mussels (Dreissena polymorpha).Minnesota Aquatic Invasive Species Research CenterMinnesota Environmental and Natural Resources Trust FundFerguson, Jake M; Jimenez, Laura; Keyes, Aislyn A; Hilding, Austen; McCartney, Michael A; St. Clair, Katie; Johnson, Douglas H; Fieberg, John R. (2023). R Code and Data Supporting: A comparison of survey method efficiency for estimating densities of Zebra Mussels (Dreissena polymorpha). Retrieved from the University Digital Conservancy, https://doi.org/10.13020/bjdp-p977
R. C. Keyes
No full textR. C. Keyes is standing next to a table made by his uncle, James F. Reed, a member of the the Donner-Reed Party
R. C. Keyes
No full textR. C. Keyes is standing next to a table made by his uncle, James F. Reed, a member of the the Donner-Reed Party
Ode to a Pair of Toy Chickens Sent Me for a Christmas Present, a poem by D.R.K., ca. 1880
No full textAn item in the Keyes Family papers collection
Importing Data into R (2 of 4)
No full textThis video from EvaluATE: Evaluation Resource Center for Advanced Technological Education is the second in a four-part series. The videos are presented by David Keyes, founder of R for the Rest of Us. The series describes what the programming R is and reasons for learning it. In this video, Keyes shares an example of the R software environment, with an example project. Keyes uses this example to demonstrate how to import data into R. Steps in this process, including installation of a software package, are demonstrated for viewers.This video runs 00:05:27 minutes in length. Other videos in this series are available to view separately. The next video in the series covers data analysis in R
An exploration of Keyes’ two-continuum model of mental health in athletes: resilience, mental illness and performance
No full textKeyes’ (2005) two-continuum model of mental health posits two related, but distinct dimensions (1: the presence or absence of mental health – MH; 2: the presence or absence of mental illness - MI). Theoretically, athletes could experience both positive MH and symptoms of MI. Alternatively, athletes could be free from MI, but experience low levels of MH (what Keyes, 2005 terms languishing). This study presents preliminary results from an online survey examining (a) associations between resilience, MH, and MI, and (b) associations between MH, MI and performance. Participants comprised (male, n = 29; female, n = 28) athletes from a range of team (e.g., soccer, netball) and individual (e.g., triathlon, golf) sports (mean age = 23 ± 7 years). The survey comprised measures of MH (Keyes et al., 2008), MI (Connell et al., 2007), resilience (Wagnild & Young, 1987), and performance [the mean of 3 items assessing satisfaction in training, competition, and in sport generally from 0 (totally dissatisfied) to 100 (totally satisfied)]. Using proposed cut-off criteria (Connell et al, 2007; Keyes et al, 2008), some individuals (12%) reported both severe MI and high MH. In addition, a modest, negative relationship (r = -.40, p = .003) between MH and MI lends some support to Keyes’ model. Resilience (personal competence) was associated with MH (r = .50, p < .01), and MI(r = -.34, p = .01). Resilience (acceptance of self and life) was not associated with MI (r = -.24, p = .08), but was associated with MH (r = .39, p = .003). Zero-order correlations between MH and performance (r = .63, p < .001), and MI and performance (r = -.40, p = .003) are qualified by partial correlation analyses. The correlation between MH and performance remains significant when MI is controlled for (r = .59, p < .001). When MH is controlled for, the relationship between MI and performance (r = -.05, p = .76) is attenuated. Collectively, results provide some support for Keyes’ model and for considering MI and MH as separate factors influencing sport performance
What is R and Why Should You Consider Learning to Use It? (1 of 4)
No full textThis video from EvaluATE: Evaluation Resource Center for Advanced Technological Education, is the first in a four-part series. The videos were created by David Keyes, founder of R for the Rest of Us. The series describes what the programming language R is and reasons for learning it. In this video, Keyes discusses uses of R for data analysis, data visualization, and interactive reporting. Viewers learn about benefits of using R, such as reproducibility and free licensing. Keyes also demonstrates how RMarkdown, R packages, and importing data into R work.This video runs 00:11:41 minutes in length. Other videos in this series are available to view separately. The next video in the series covers importing data into R
Data Analysis in R (3 of 4)
No full textThis video from EvaluATE: Evaluation Resource Center for Advanced Technological Education&nbsp;is the third in a four-part series. The videos are presented by David Keyes, founder of R for the Rest of Us. The series describes what the programming language R is and reasons for learning it. In this video, Keyes demonstrates what basic data analysis in R looks like. This demonstration includes using a software package to obtain a summary of a dataset. Topics covered include summary statistics and the creation of contingency tables, also known as cross tabulation or crosstabs.This video runs 00:07:05 minutes in length. Other videos in this series are available to view separately. The next video concludes the series by discussing reporting in R
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