R Dataset / Package DAAG / rice
Attachment | Size |
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dataset-27994.csv | 2.62 KB |
Documentation |
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On this Picostat.com statistics page, you will find information about the rice data set which pertains to Genetically Modified and Wild Type Rice Data. The rice data set is found in the DAAG R package. You can load the rice data set in R by issuing the following command at the console data("rice"). This will load the data into a variable called rice. If R says the rice data set is not found, you can try installing the package by issuing this command install.packages("DAAG") and then attempt to reload the data. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the rice R data set. The size of this file is about 2,680 bytes. Genetically Modified and Wild Type Rice DataDescriptionThe Usagerice FormatThis data frame contains the following columns:
SourcePerrine, F.M., Prayitno, J., Weinman, J.J., Dazzo, F.B. and Rolfe, B. 2001. Rhizobium plasmids are involved in the inhibition or stimulation of rice growth and development. Australian Journal of Plant Physiology 28: 923-927. Examplesprint("One and Two-Way Comparisons - Example 4.5") attach(rice) oldpar <- par(las = 2) stripchart(ShootDryMass ~ trt, pch=1, cex=1, xlab="Level of factor 1") detach(rice) pause()rice.aov <- aov(ShootDryMass ~ trt, data=rice); anova(rice.aov) anova(rice.aov) pause()summary.lm(rice.aov)$coef pause()rice$trt <- relevel(rice$trt, ref="NH4Cl") # Set NH4Cl as the baselinefac1 <- factor(sapply(strsplit(as.character(rice$trt)," \\+"), function(x)x[1])) anu843 <- sapply(strsplit(as.character(rice$trt), "\\+"), function(x)c("wt","ANU843")[length(x)]) anu843 <- factor(anu843, levels=c("wt", "ANU843")) attach(rice) interaction.plot(fac1, anu843, ShootDryMass) detach(rice) par(oldpar) -- Dataset imported from https://www.r-project.org. |
R Output | Date |
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Picostat Output - Arithmetic Mean | Feb 7, 2019 |
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