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Here is the code to complete the homework instructions for Exercise 2.10:
```sas
/*1. Convert variable values*/
data ex2_10;
set Ex2-10.dat;
if sex=1 then gender='male';
else gender='female';
run;
/*2. Frequency table*/
proc freq data=ex2_10;
tables gender;
run;
/*3. Histograms by gender*/
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This SAS tutorial discusses procedures for correlation (PROC CORR) and frequency analysis (PROC FREQ). It provides examples of using PROC CORR to generate a correlation matrix and scatter plot for bivariate relationships. PROC FREQ is demonstrated through a 2x3 cross tabulation and chi-square test to examine potential gender differences in attitudes. Additional concepts reviewed include partial correlation, missing data handling, variance/covariance matrices, and the chi-square distribution.
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The document discusses the scientific study of the biological basis of consciousness. It describes how scientists are now actively investigating this topic that was traditionally in the domain of philosophy. Some insights have come from studying neurological patients whose injuries altered their consciousness. However, current research can only provide fragmented pieces of the consciousness puzzle and few address the most enigmatic aspect of human consciousness - the sense of self. Scientists hope to learn not just the biological basis but also why consciousness exists by studying its development and presence in other species.
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Sas plot
The document describes the PROC PLOT procedure in SAS for creating scatter plots. It provides the basic syntax for PROC PLOT, shows how to use BY variables to create separate plots, and gives examples of using options like BOX, VAXIS, and HAXIS to customize the axes.
Sas reg multi
Multiple linear regression allows modeling a dependent variable as a linear combination of multiple independent variables. The REG procedure in SAS can be used to perform multiple linear regression. It allows selection of independent variables using forward, backward, or stepwise selection methods. An example demonstrates generating simulated data with multiple independent variables and a dependent variable, then using the REG procedure with forward selection to identify a best fitting regression model.
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This document provides information on performing simple linear regression using the REG procedure in SAS. It describes the syntax for the PROC REG statement and MODEL statement to define the dependent and independent variables. Examples are given to generate random x and y data, perform linear regression with PROC REG and model statement, and output diagnostic plots of the residuals versus predicted values and x versus y.
Sas corr
The CORR procedure in SAS calculates several types of correlation between variables:
- Pearson product-moment correlation for linear relationships
- Rank correlations including Spearman and Kendall's tau-b
- Hoeffding's measure of dependence
- Partial correlations can also be calculated to assess the relationship between two variables while controlling for other variables.
The procedure syntax allows specification of variables, frequency and ID variables, use of weights, and generation of correlation and scatter plots. Examples demonstrate its use for correlation and partial correlation analysis of datasets.
1129 sas實習課
1. The document discusses different methods for improving SAS programs and outputs, including comment statements, title statements, and system options.
2. It compares the comment statements "*message;" and "/*message*/" and explains that "/*message*/" can ignore all content within the comment.
3. Examples are provided to demonstrate how title statements and system options like NODATE can modify output reports.
Sas tutorial 1018
Here is the code to complete the homework instructions for Exercise 2.10:
```sas
/*1. Convert variable values*/
data ex2_10;
set Ex2-10.dat;
if sex=1 then gender='male';
else gender='female';
run;
/*2. Frequency table*/
proc freq data=ex2_10;
tables gender;
run;
/*3. Histograms by gender*/
proc univariate data=ex2_10;
var grade;
histogram / normal;
by gender;
run;
/*4. Boxplots to compare distributions*/
proc boxplot data=ex2_10;
plot grade
Sas tutorial 0524
This document discusses running a two-way ANOVA in SAS with an unbalanced design. It shows the SAS code to specify a class and model statement to analyze the effects of factors A and B and their interaction on the response variable y. It also provides code examples for generating contrasts and least squares means comparisons. Dummy variable coding is explained as a method for representing categorical variables in the model. Finally, alternative approaches for analyzing main effects and interactions are suggested if contrast analysis cannot be run directly.
Sas tutorial glm2
This document discusses repeated measures analysis of variance (ANOVA). It provides an example of a 2-way repeated measures ANOVA with factors A and B. It also demonstrates how to perform a general linear model (GLM) in SAS to analyze repeated measures data, including specifying the within-subject factor in the REPEATED statement. Finally, it discusses mixed models that include both between-subject and within-subject factors and provides code for a GLM analyzing log-histamine concentrations over time in dogs receiving different drug treatments.
Sas tutorial glm1
This document provides an example of using PROC GLM in SAS to perform a balanced ANOVA on stem length data from a randomized complete block experiment with seven plant types. The PROC GLM is used to fit a model with main effects for block and type. Contrast statements are included to test specific pairwise comparisons between types. Means for each type are also obtained.
SAS 0412
PROC ANOVA is used to perform analysis of variance on experimental data. It allows specification of classification variables using CLASS, dependent variables using MODEL, and post hoc comparisons using MEANS. Examples show using PROC ANOVA to analyze a one-way ANOVA model with multiple comparisons, and a repeated measures ANOVA to analyze how an interest level changes over time. Questions ask about the differences between ANOVA and linear regression, the expected value of mean squared error, and fixed/random effects.
Sas tutorial 0308
This SAS tutorial discusses procedures for correlation (PROC CORR) and frequency analysis (PROC FREQ). It provides examples of using PROC CORR to generate a correlation matrix and scatter plot for bivariate relationships. PROC FREQ is demonstrated through a 2x3 cross tabulation with chi-square test to examine differences in agreement with premarital sex between males and females. Additional concepts covered include partial correlation, missing values, variance/covariance matrix, and transforming scores to a normal distribution with mean 80 and standard deviation 10 using PROC STANDARD.
Sas tutorial 0308
This SAS tutorial discusses procedures for correlation (PROC CORR) and frequency analysis (PROC FREQ). It provides examples of using PROC CORR to generate a correlation matrix and scatter plot for bivariate relationships. PROC FREQ is demonstrated through a 2x3 cross tabulation and chi-square test to examine potential gender differences in attitudes. Additional concepts reviewed include partial correlation, missing data handling, variance/covariance matrices, and the chi-square distribution.
Science p79 -- polished
The document discusses the scientific study of the biological basis of consciousness. It describes how scientists are now actively investigating this topic that was traditionally in the domain of philosophy. Some insights have come from studying neurological patients whose injuries altered their consciousness. However, current research can only provide fragmented pieces of the consciousness puzzle and few address the most enigmatic aspect of human consciousness - the sense of self. Scientists hope to learn not just the biological basis but also why consciousness exists by studying its development and presence in other species.
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0925 sas實習課
- 1. 2011/09/22 統計實習課 張文乘 E-mail : wenshengchang@gmail.com
- 3. DATA 與程序 (PROC)
- 10. 2. 簡列讀取法 (List Mode) 最常用 (1) 資料之間要有空格。 (2) 遺漏值必須用 . 表示，不可以空格。 (3) 文字變項 不可含空格。
- 12. 另一種表示日期的 code
- 15. 3. 格式讀取法 (Formatted mode)
- 17. 二、讀取外部原始檔資料
- 19. 三、 @@ 的使用
Editor's Notes
- 容易上手的使用者介面