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Hypothesis Tests and Exploratory Analysis Using R Commander and Factoshiny (Record no. 44674)

MARC details
000 -LEADER
fixed length control field 02220nam a22002657a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20231102154423.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 231030b ||||| |||| 00| 0 eng d
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
ISSN 0021-9584
037 ## - SOURCE OF ACQUISITION
Source of stock number/acquisition RIEBPL Library
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 540.7
100 ## - MAIN ENTRY--AUTHOR NAME
Personal name Endler Marcel Borges
245 ## - TITLE STATEMENT
Title Hypothesis Tests and Exploratory Analysis Using R Commander and Factoshiny
Remainder of title (Journal Article)
Statement of responsibility, etc
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication Washington, United States
Name of publisher :American Chemical Society
Year of publication ,January 10, 2023
300 ## - PHYSICAL DESCRIPTION
Number of Pages 267-278 p.
490 ## - SERIES STATEMENT
Series statement American Chemical Society, Volume 100, Issue 1
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note ***______{For Hard Copy, Please visit Library.}________***
520 ## - SUMMARY, ETC.
Summary, etc Abstract-<br/><br/>An understanding of statistical concepts is necessary for a chemist with a complete education. Here, statistical tests were taught using the R Commander and the Factoshiny packages. These packages run on R software and have a graphical user interface (GUI), which allows students to do statistical tests quickly and easily. These packages were presented through 14 case studies. In each case study, a data set was provided in MS Excel format, and a series of questions were answered using these packages. Hypothesis tests and exploratory analysis (principal component analysis; PCA) were taught using R Commander and Factoshiny, respectively. Outlier results were found using boxplots. Data normality was checked using histograms and the Shapiro–Wilk test. Normally distributed data sets were compared using parametric hypothesis tests (t test, paired t test, one-way ANOVA, two-way ANOVA, one-way repeated measure ANOVA). Non-normally distrusted data sets were compared using nonparametric tests (Wilcoxon, Kruskal–Wallis, and Friedman tests). Results provided by these parametric and nonparametric tests were also verified using plots (plot of means and boxplots).<br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/>
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Graduate Education/Research
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Upper-Division Undergraduate Analytical Chemistry
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Chemoinformatics
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Interdisciplinary/Multidisciplinary
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Chemometrics Computational Chemistry
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1021/acs.jchemed.2c00155
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Periodicals
Holdings
Lost status Damaged status Home library Current library Date acquired Full call number Koha item type
    RIE BPL Library RIE BPL Library 02.11.2023 540.7 Periodicals

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