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--- r:data [2018/12/26 01:41] – [Bostonhousing] hkimscil
+++ r:data [2023/12/07 07:18] (current) – hkimscil
@@ Line 1: / Line 1: @@
+{{:r:repeated_measures_anova_eg.xlsx}}
+{{:r:twoway.anova.by.hand.xlsx}}
+{{:r:twoway.anova.by.hand.data.csv}}
 {{:r:tests_cor.csv}}
-{{r:bottles.csv}}
+{{:r:bottles.csv}}
-{{r:dataset_anova_twoway_interactions.csv}}
+{{:r:dataset_anova_twoway_interactions.csv}}
-{{r:dataset_multipleRegression.csv}}
+{{:r:dataset_multipleRegression.csv}}
+{{:r:sat.score.csv}}
+{{:r:medFactor.txt}}
+{{:r:SelectionExercise.csv}}
+{{:r:davis.women.club.csv}}
+{{:r:Turnover.csv}}
+{{:r:hsb2.csv}}
+{{:r:hsb2.rda}}
+<WRAP box>
+{{:r:worland5.csv}} : Motivating example
+Suppose you are a researcher studying the effects of student background on academic achievement. The lab recently finished collecting and uploading the dataset (worland5.csv) of students each with 9 observed variables: Motivation, Harmony, Stability, Negative Parental Psychology, SES, Verbal IQ, Reading, Arithmetic and Spelling. The principal investigator hypothesizes three latent constructs Adjustment, Risk, Achievement measured with its corresponding to the following codebook mapping:
+Adjustment
+  * motiv Motivation
+  * harm Harmony
+  * stabi Stability
+Risk
+  * ppsych (Negative) Parental Psychology
+  * ses SES
+  * verbal Verbal IQ
+Achievement
+  * read Reading
+  * arith Arithmetic
+  * spell Spelling
+</WRAP>
+{{:r:PayDeterminants.csv}}
+{{:r:active.csv}}
+{{:r:active.full.csv}}
+{{:r:active.miss.csv}}
+{{:r:active.txt}}
+{{:r:college.csv}}
+{{:r:csvdata.csv}}
+{{:r:csvdata.xlsx}}
+{{:r:depress.csv}}
+{{:r:example.php}}
+{{:r:gpa.csv}}
+{{:r:gpa.txt}}
+{{:r:GrantWhite.csv}}
+{{:r:GWcorr.csv}}
+{{:r:LeeBryk.csv}}
+{{:r:mamm.csv}}
+{{:r:mathmod.csv}}
+{{:r:nlsy.csv}}
+{{:r:Pasteur.csv}}
+{{:r:spssdata.sav}}
+{{:r:parenthood.Rdata}}
+{{:r:LungCapData.txt}}
+====== VR hinderance ======
+{{:r:vr.test.csv}}
+====== Path A ======
+{{:r:path4.csv}}
+{{:r:ex42.csv}}
+{{:r:path analysis dataN BinW.csv}}
+{{:r:PlannedBehavior.csv}}
+{{:r:miss1.csv}}
+{{:r:pathanalysis.mike.crowson.r}}
+====== Movies ======
+Please see https://grouplens.org/datasets/movielens/
+small data set
+{{:r:ms.links.csv}} 0.2MB
+{{:r:ms.movies.csv}} 0.5MB
+{{:r:ms.ratings.csv}} 2.4MB
+{{:r:ms.readme.txt}} 8.1kB Upload denied. This file extension is forbidden!
+{{:r:ms.tags.csv}} 0.1MB
 ====== smoker ======
@@ Line 207: / Line 285: @@
 ====== CPS_85_Wages ======
+see http://lib.stat.cmu.edu/datasets/CPS_85_Wages
+{{:cps_85_wages.csv}}
 <code>
+Variable names in order from left to right:
+	EDUCATION: Number of years of education.
+	SOUTH: Indicator variable for Southern Region (1=Person lives in South, 0=Person lives elsewhere).
+	SEX: Indicator variable for sex (1=Female, 0=Male).
+	EXPERIENCE: Number of years of work experience.
+	UNION: Indicator variable for union membership (1=Union member, 0=Not union member).
+	WAGE: Wage (dollars per hour).
+	AGE: Age (years).
+	RACE: Race (1=Other, 2=Hispanic, 3=White).
+	OCCUPATION: Occupational category (1=Management, 2=Sales, 3=Clerical, 4=Service, 5=Professional, 6=Other).
+	SECTOR: Sector (0=Other, 1=Manufacturing, 2=Construction).
+	MARR: Marital Status (0=Unmarried,  1=Married)
+</code>
+<code csv cps_85_wages.csv>
+education	south	sex	experience	union	wage	age	race	occupation	sector	marr
 	0	1	21	0	5.1	35	2	6	1	1
 	0	1	42	0	4.95	57	3	6	1	1