projectthinktank.blogspot.com

Project Think Tank

Thursday, July 2, 2015. Statistics in R - 8. One-Way ANOVA. One-Way Analysis of Variance. A one-way analysis of variance compares the means of two or more non-related groups of data. The null hypothesis of a one-way ANOVA states that there are no differences between the groups. Larger mean and M. Is the smaller mean of the two groups that are. Being compared. SE is standard error. III Code in R:. Stacks the data so it can be used in the one way test. Aov(VAR1 VAR2, data=stacked). Onewayaov - read.csv...

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Thursday, July 2, 2015. Statistics in R - 8. One-Way ANOVA. One-Way Analysis of Variance. A one-way analysis of variance compares the means of two or more non-related groups of data. The null hypothesis of a one-way ANOVA states that there are no differences between the groups. Larger mean and M. Is the smaller mean of the two groups that are. Being compared. SE is standard error. III Code in R:. Stacks the data so it can be used in the one way test. Aov(VAR1 VAR2, data=stacked). Onewayaov - read.csv...

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1 project think tank

2 aka one way anova

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6 tukey hsd

7 where m

8 is the

9 stacked stack mydata

10 tukeyhsd aov out

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Project Think Tank | projectthinktank.blogspot.com Reviews

https://projectthinktank.blogspot.com

Thursday, July 2, 2015. Statistics in R - 8. One-Way ANOVA. One-Way Analysis of Variance. A one-way analysis of variance compares the means of two or more non-related groups of data. The null hypothesis of a one-way ANOVA states that there are no differences between the groups. Larger mean and M. Is the smaller mean of the two groups that are. Being compared. SE is standard error. III Code in R:. Stacks the data so it can be used in the one way test. Aov(VAR1 VAR2, data=stacked). Onewayaov - read.csv...

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projectthinktank.blogspot.com

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Project Think Tank: Statistics in R - 7. Chi-Square Test

http://www.projectthinktank.blogspot.com/2015/07/statistics-in-r-7-chi-square-test.html

Thursday, July 2, 2015. Statistics in R - 7. Chi-Square Test. The chi-square test is used to determine whether there is a difference in frequencies based on group membership. III Code in R:. Where OBJECT is previously defined. Use R to run a chi-square test to determine whether the voter turnout was significantly different between the two political parties for Professor Jackson. 1 Open chisquare.csv file in R. Chisquare - read.csv("chisquare.csv", header=TRUE). 2 View data in R. 4 Run chi-square test.

2

Project Think Tank: Statistics in R - 5. Repeated Measures t-test

http://www.projectthinktank.blogspot.com/2015/07/statistics-in-r-tutorial-5-repeated.html

Thursday, July 2, 2015. Statistics in R - 5. Repeated Measures t-test. AKA: dependent samples t-test, paired t-test, matched pairs t-test. The repeated measures t test is essentially a one-sample t test on difference scores. To obtain the difference score, subtract the second score (X. From the first score (X. III Code in R:. Ttest(VAR1,VAR2, paired=TRUE, alt="less"). This code is similar to the independent measures t-test, except that we specify that the samples are paired in the code, paired=TRUE.

3

Project Think Tank: Statistics in R - Overview

http://www.projectthinktank.blogspot.com/2015/07/statistics-in-r-tutorial-overview.html

Thursday, July 2, 2015. Statistics in R - Overview. Last Fall I co-created a series of tutorials for learning how to use the statistical programming software R. With the help of another San Jose State University master's student, Megan Leonard, and under the supervision of Dr. Sean Laraway, we designed and created our very own course. The end product was an eight part series of tutorials, aptly named Statistics in R. These tutorials cover many basic aspects of using R. Subscribe to: Post Comments (Atom).

4

Project Think Tank: July 2015

http://www.projectthinktank.blogspot.com/2015_07_01_archive.html

Thursday, July 2, 2015. Statistics in R - 8. One-Way ANOVA. One-Way Analysis of Variance. A one-way analysis of variance compares the means of two or more non-related groups of data. The null hypothesis of a one-way ANOVA states that there are no differences between the groups. Larger mean and M. Is the smaller mean of the two groups that are. Being compared. SE is standard error. III Code in R:. Stacks the data so it can be used in the one way test. Aov(VAR1 VAR2, data=stacked). Onewayaov - read.csv...

5

Project Think Tank: Statistics in R - 6. Pearson’s r Test

http://www.projectthinktank.blogspot.com/2015/07/statistics-in-r-6-pearsons-r-test.html

Thursday, July 2, 2015. Statistics in R - 6. Pearson’s r Test. Pearson’s r Test. The Pearson statistic is used to determine whether there is a linear relationship between two continuous variables. This relationship is reported as a number between - 1.0 and 1.0. The strength of the relationship is represented by the absolute value of the statistic, with higher numbers representing stronger relationships. III Code in R:. 1 Open pearson.csv file in R. Pearson - read.csv("pearson.csv", header=TRUE). Statisti...

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Project Think Tank

Thursday, July 2, 2015. Statistics in R - 8. One-Way ANOVA. One-Way Analysis of Variance. A one-way analysis of variance compares the means of two or more non-related groups of data. The null hypothesis of a one-way ANOVA states that there are no differences between the groups. Larger mean and M. Is the smaller mean of the two groups that are. Being compared. SE is standard error. III Code in R:. Stacks the data so it can be used in the one way test. Aov(VAR1 VAR2, data=stacked). Onewayaov - read.csv...

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