One way ANOVA in R - Revision history

Mjeppesen at 06:24, 20 January 2022

2022-01-20T06:24:13Z

← Older revision		Revision as of 06:24, 20 January 2022
Line 36:		Line 36:
	tk<- TukeyHSD(av1) <br>		tk<- TukeyHSD(av1) <br>
	tk <br>		tk <br>
	~~[[Category:Protocols]]~~
	~~[[Category:Metabolomics]]~~
	[[category:Data_Processing_and_Analysis]]		[[category:Data_Processing_and_Analysis]]

Mjeppesen: Added to Category

2021-09-11T03:55:51Z

Added to Category

← Older revision		Revision as of 03:55, 11 September 2021
Line 38:		Line 38:
	[[Category:Protocols]]		[[Category:Protocols]]
	[[Category:Metabolomics]]		[[Category:Metabolomics]]
	[[category:~~data_processing_and_analysis~~]]		[[category:Data_Processing_and_Analysis]]

Mjeppesen: Added to Category

2021-09-11T03:55:27Z

Added to Category

← Older revision		Revision as of 03:55, 11 September 2021
Line 38:		Line 38:
	[[Category:Protocols]]		[[Category:Protocols]]
	[[Category:Metabolomics]]		[[Category:Metabolomics]]
			[[category:data_processing_and_analysis]]

Teklab at 23:41, 11 November 2015

2015-11-11T23:41:16Z

← Older revision		Revision as of 23:41, 11 November 2015
Line 34:		Line 34:
	av1<-aov(length ~ group, data=smetab) <br>		av1<-aov(length ~ group, data=smetab) <br>
	summary(av1) <br>		summary(av1) <br>
	tk<- TukeyHSD(av1) <br>		tk<- TukeyHSD(av1) <br>
	tk <br>		tk <br>
	[[Category:Protocols]]		[[Category:Protocols]]
	[[Category:Metabolomics]]		[[Category:Metabolomics]]

Teklab at 23:40, 11 November 2015

2015-11-11T23:40:53Z

← Older revision		Revision as of 23:40, 11 November 2015
Line 24:		Line 24:
	\|}		\|}
	* Read the file and name it (e.g metab)		* Read the file and name it (e.g metab)
	metab <- read.csv ("sample.csv, header= T)		metab <- read.csv ("sample.csv, header= T)
	* confirm the file is imported. When you call for metab and press enter you should see the table		* confirm the file is imported. When you call for metab and press enter you should see the table
	*make box plot		*make box plot
	boxplot(metab)		boxplot(metab)
	*Then use the following command to conduct one way anova and Tukey's test		*Then use the following command to conduct one way anova and Tukey's test
	smetab <- stack(metab) <br>		smetab <- stack(metab) <br>
	names(smetab) <- c("length", "group") <br>		names(smetab) <- c("length", "group") <br>
	smetab <br>		smetab <br>
	av1<-aov(length ~ group, data=smetab) <br>		av1<-aov(length ~ group, data=smetab) <br>
	summary(av1) <br>		summary(av1) <br>
	tk<- TukeyHSD(av1) <br>		tk<- TukeyHSD(av1) <br>
	tk <br>		tk <br>
	[[Category:Protocols]]		[[Category:Protocols]]
	[[Category:Metabolomics]]		[[Category:Metabolomics]]

Teklab at 23:40, 11 November 2015

2015-11-11T23:40:12Z

← Older revision		Revision as of 23:40, 11 November 2015
Line 5:		Line 5:
	*Change the working directory to the directory where your file is"		*Change the working directory to the directory where your file is"

	setwd('C:/Users/yourfolder')		setwd('C:/Users/yourfolder')

	*Read the file: E.g the file used here is smaple.csv. The file has three groups with the following format		*Read the file: E.g the file used here is smaple.csv. The file has three groups with the following format

	{\| class="wikitable"		{\| class="wikitable"
	\|-		\|-
	! Header 1		! Header 1

Teklab at 18:58, 11 November 2015

2015-11-11T18:58:20Z

← Older revision		Revision as of 18:58, 11 November 2015
Line 36:		Line 36:
	tk<- TukeyHSD(av1) <br>		tk<- TukeyHSD(av1) <br>
	tk <br>		tk <br>
			[[Category:Protocols]]
			[[Category:Metabolomics]]

Teklab at 18:56, 11 November 2015

2015-11-11T18:56:57Z

← Older revision		Revision as of 18:56, 11 November 2015
Line 3:		Line 3:
	===using R===		===using R===
	*Open the R console		*Open the R console
	*Change the working directory to the directory where your file ~~presents using the following command~~"		*Change the working directory to the directory where your file is"

	setwd('C:/Users/yourfolder')		setwd('C:/Users/yourfolder')

Teklab: Created page with "The one way analysis of variance is used to test if three or more means are equal. One way ANOVA is an extension of two independent samples t-test. ===using R=== *Open the R ..."

2015-11-11T18:56:07Z

Created page with "The one way analysis of variance is used to test if three or more means are equal. One way ANOVA is an extension of two independent samples t-test. ===using R=== *Open the R ..."

New page

The one way analysis of variance is used to test if three or more means are equal. One way ANOVA is an extension of two independent samples t-test.

===using R===
*Open the R console
*Change the working directory to the directory where your file presents using the following command"

setwd('C:/Users/yourfolder')

*Read the file: E.g the file used here is smaple.csv. The file has three groups with the following format

{| class="wikitable"
|-
! Header 1
! Header 2
! Header 3
|-
| a
| b
| c
|-
| d
| e
| f
|}
* Read the file and name it (e.g metab)
metab <- read.csv ("sample.csv, header= T)
* confirm the file is imported. When you call for metab and press enter you should see the table
*make box plot
boxplot(metab)
*Then use the following command to conduct one way anova and Tukey's test
smetab <- stack(metab) 
names(smetab) <- c("length", "group") 
smetab 
av1<-aov(length ~ group, data=smetab) 
summary(av1) 
tk<- TukeyHSD(av1) 
tk