�Ҥ�ԪҤ�Ե��ʵ������Է�ҡ�ä��������� ����Է����ʵ���������� ����Է�����ʧ��ҹ��Թ��� �Է��ࢵ�ѵ�ҹ�
Department of Mathematics and Computer Science, Faculty of Science and Technology, Prince of Songkla University, Pattani Campus, Thailand
(Data Manipulation, Graphics and Statistical Analysis Using R)
Chapters | Details | Datasets | R commands |
---|---|---|---|
1 | ������ R (Introduction to R) | ||
2 | �Ҿ���ʶԵ� (Overview of statististics) | ||
3 | ��ù��ʹ͢����Ŵ��¡�ҿ (Graphic Presentation of Data) | (1) dexabia.csv (2) bps.csv (3) filaria.csv (4) plant.csv (5) albumin.csv | |
4 | ��èѴ��â����� (Data manipulate) | (1) vct.csv (2) fev.csv (3) mhrc.csv | |
5 | �����ػ������ (Data summary) | ||
6 | ���ᨡᨧ�ҧʶԵ� (Distribution) | GraphChapter6.txt | |
7 | ʶԵ���ҧ�ԧ (Inferential statistics) | (1) albumin.csv (2) fev.csv (3) vct.csv | Chapter7Fig7-4.txt Chapter7Fig7-5.txt Chapter7Fig7-6.txt Chapter7Fig7-7.txt Chapter7Fig7-8.txt Chapter7Fig7-9.txt |
8 | ���������������û�ǹ (Analysis of Variance) | (1) bps.csv (2) vas.csv (3) microwave.csv (4) mosquito.csv | GraphChapter8.txt |
9 | ��ö�����ԧ������ҧ���� (Simple linear regression) | (1) ahi.csv (2) abdfat.csv (3) pcbf.csv (4) hworm.csv (5) inhibition.csv | |
10 | ��ö�����ԧ��鹾�ؤٳ (Multiple linear regression) | (1) kkswam.csv (2) hushelp.csv (3) catch.csv | |
11 | ���������������š���� I (Categorical data analysis I) | (1) nicotine.csv (2) hypogly.csv (3) vctlab.csv | |
12 | ���������������š���� II (Categorical data analysis II) | (1) tsunami.dta (2) hypo.dta | |
13 | ��ö�����Ũ�ʵԡ���ҧ���� (Simple logistic regression) | (1) parasite.csv (2) tsunami.dta (3) transacc.csv | |
14 | ��ö�����Ũ�ʵԡ��ؤٳ (Multiple logistic regression) | (1) tusnami.dta (2) twins.csv (3) los.csv |
Chapters | Details | Datasets | R commands |
---|---|---|---|
1 | ���Ẻ��ö�����ԧ��鹾�� (Multiple linear regression) | trigly.csv salary.csv intext.csv | |
2 | ����ԹԨ��µ��Ẻ�ԧ��� (Linear regression diagnostics) | ||
3 | ���Ẻ��ö�����Ũ�ʵԡ�ԧ��� (Multiple logistics regression) | drug.csv | |
4 | ����ԹԨ��µ��Ẻ�Ũ�ʵԡ (Logistic regression diagnostics) | ||
5 | ���Ẻ��ǫ� (Poisson regression) | tb.csv | |
6 | ��������������ʹ�վ (Survival analysis) | cancer.dta |
(Data Analysis for Experimental Design Using R)
Chapters | Details | Datasets | R commands |
---|---|---|---|
1 | ��ѡ���ͧ�鹢ͧ����͡Ẻ��÷��ͧ (Basic Concepts of Experimental Designs) | ||
2 | Ἱ��÷��ͧẺ��������ó� (Completely Randomize Design: CRD) | ||
3 | Ἱ��÷��ͧẺ����㹺��͡����ó� (Randomized Complete Block Design: RCBD) | ||
4 | ἹẺ��÷��ͧ�������еԹ (Latin Squares Design: LSD) | ||
5 | ����÷��ͧẺῡ�������� CRD �ó��ͧ�Ѩ��� (Factorial experimental for two factors) | ||
6 | ��÷��ͧῤ�������� CRD �ó� 3 �Ѩ��� | ||
7 | ��÷��ͧῤ�������� RCBD | ||
8 | ��÷��ͧẺʻ�Ե���͵ (Split plot design) | ||
9 | ���������������û�ǹ���� (Analysis of covariance: ANCOVA) |
Chapters | Details | Datasets | Materials |
---|---|---|---|
1 | ��Ъҡ���ʵ�� (Demography) | (1) wk1.xls | |
2 | ���觢����Ż�Ъҡ� (Population data sources) | ||
3 | ͧ���Сͺ��Ъҡ� (Population composition) | (1) censuspop.csv (2) pop_south.csv (3) popsouth2000.csv | |
4 | �������¹�ŧ�ҧ��Ъҡ� (Population dynamics) | (1) popdent.csv (2) popsouth.csv (3) dynamicp.csv (4) dynamicpopThai.csv (5) worldpopage.csv | |
5 | ������ԭ�ѹ��� (Fertility) | (1) fertility.csv | |
6 | ���С�õ�� (Mortality) | (1) death.csv (2) deathsouth.csv (3) direct.csv (4) indirect.csv (5) popyear.csv | |
7 | ������¶�� (Migration) | (1) GlobalMigrant.csv (2) Migration.csv (3) thaipop2549.csv | |
8 | ���ҧ�վ (Life table) | (1) lifetable_south.xls | |
9 | �Ѫ�ջ��آ�Ҿ����٭���»�Ѻ���¤��������ͧ��ҹ�آ�Ҿ (Disability Adjusted Life Years: DALYs) | (1) daly.xls.csv (2) DALYtemplate.xls (3) diarheaCa.xls (4) lifetable_south.xls.csv (5) lifetable.csv | |
10 | ��û���ҳ��һ�Ъҡ���С�é���Ҿ��Ъҡ� (Population projections) | (1) projection.xls | |
11 | ��º�·ҧ��Ъҡ���ʵ�� ( Population policies) |
Chapters | Details | Datasets | Materials |
---|---|---|---|
1 | Overview of stistics | ||
2 | Introduction to R | ||
3 | Fundamental statistical concepts | ||
4 | Examining distributions | (1) babies.csv | |
5 | Confidence intervals for the mean and proportion | (1) fluoride.csv | |
6 | Hypothesis testing | ||
7 | Analysis of Variance (ANOVA) | (1) hsb2.dta | |
8 | Correlation and simple linear regression | ||
9 | Categorical data analysis | ||
10 | Logistic regression | (1) chd.txt (2) chdint.txt (3) neo.txt | |
Examination | Examination data | drug.csv |
Chapters | Details | Datasets | Materials |
---|---|---|---|
1 | ��ö�����ԧ��鹵ç (Linear regression) | (1) trigly.csv (2) salary.csv (3) intexp.csv (4) alka.txt (5) export.txt (6) movie.txt | |
2 | ����ԹԨ��µ��Ẻ�ԧ��� (Linear regression diagnostics) | (1) crime.csv | |
3 | ���Ẻ��ö�����Ũ�ʵԡ�ԧ��� (Multiple logistics regression) | (1) babies1.dta | |
4 | ����ԹԨ��µ��Ẻ�Ũ�ʵԡ (Logistic logistics regression) | (1) bliss.csv | |
5 | ���Ẻ��ǫ� (Poisson regression) | (2) murrel.csv (2) tb.csv | |
6 | ��������������ʹ�վ (Survival analysis) | (2) cancer.dta |
Chapters | Details | Datasets | Materials |
---|---|---|---|
1 | Ἱ��÷��ͧẺ������ʹ (Randomized Completely Design) | crd.pdf1 | |
2 | ��÷��ͺ�ԧ��ؤٳ (Multiple comparison) | crd1.pdf | |
3 | Ἱ��÷��ͧẺ������ʹ㹺��ͤ (Randomized Complete Block Design: RCBD) | rcbdn1.pdf | |
4 | ἹẺ��÷��ͧ�������еԹ (Latin Squares Design: LSD) | latin1.pdf | |
5 | ��û���ҳ����٭��� (Imputation) | ||
6 | ��÷��ͧẺῤ������� (Factorial experimental) | factorial1.pdf | |
7 | ��÷��ͧῤ�������� RCBD �ó� 2 �Ѩ��� | factorialRCBD1.pdf | |
8 | ��÷��ͧῤ��������CRD �ó� 3�Ѩ��� | factorial3tr1.pdf | |
9 | ��÷��ͧʻ�Ե��͵ (Split plot) | splitplotcrd1.pdf | |
10 | ���������������û�ǹ����(Analysis of covariance: ANCOVA) | ancova1.pdf |
Chapters | Details | Datasets | Materials |
---|---|---|---|
5 | �ѧ��ѹ������Ҩ�����Ф���˹��蹢ͧ�ͧ����� (Joint probability and density function of two random variables) | ||
6 | �ѧ��ѹ���ᨡᨧ�����ͧ�ͧ��������� (Joint distribution function of two random variables) | ||
7 | ���ᨡᨧ������Ҩ���Ẻ������ (Conditional probability distribution) | ||
8 | ���ᨡᨧ������Ҩ���Ẻ������ (Conditional probability distribution) | ||
9 | ��Ҥ����Ҵ��ѧ��Ф����û�ǹ (Expectation and Variance) | ||
10 | ������� (Moments) | ||
11 | �ѧ��ѹ���������������пѧ��ѹ�ѡɳ� (Moment Generating function and Characteristic function) | ||
12 | ��������� (Chebyshev�s Inequality) | ||
13 | ���ӹǹ�ҡ (Law of Large Numbers) | ||
14 | ��ɯդ�ҨӡѴ�����ǹ��ҧ (Central Limit Theorem) |
Chapters | Details | Datasets | Materials |
---|---|---|---|
1 | ���������������š���� (Categorical data analysis) | ||
2 | ����Ѵ�дѺ��������ѹ�� (Measure of strength of association) | ||
3 | ��ö�����Ũ�ʵԡ (Logistic regression) | ||
4 | ��ö�����Ũ�ʵԡ��ؤٳ (Multiple logistic regression) |
Chapters | Details | Datasets | Materials |
---|---|---|---|
1 | Introduction to reserch design | ||
2 | Sampling technique | ||
3 | Error and bias | ||
4 | Sample size calculation | ||
5 | Descriptive study | ||
6 | Cross-sectional study | ||
7 | Case-control study | ||
8 | Cohort study |