Weibel-Fortin Exercise 9 Submission#1
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Merge branch 'master' of https://github.com/cweibel2/Intro_Biocomp_ND_317_Tutorial9 # Conflicts: # Exercise_9.R
Merge branch 'master' of https://github.com/cweibel2/Intro_Biocomp_ND_317_Tutorial9 # Conflicts: # Exercise_9.R
araiho
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Nov 3, 2017
| ggplot(data)+ | ||
| geom_boxplot(aes(x=mutation, y=ponzr1Counts)) | ||
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| data <- read.csv("/Users/elizabethfortin12/Documents/ND First Year/Biocomputing/R_Programming/Exercise_9/ponzr1.csv") |
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This should go up above the plots. And try to keep it coming from the raw data in the repo that way anyone could rerun your code. With the file path the way it is now, it would be hard to rerun.
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| # data frames containing only one mutation | ||
| m124k <- data[data$mutation=='WT',] | ||
| m124k[11:20,] <- data[data$mutation=='M124K',] |
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Does this work? I learned something new! Could do data[data$mutation==c('WT','M124K'),]
| C <- 2*(results[3,1]-results[3,2]) | ||
| results[1,3] <- pchisq(q=A, df=1, lower.tail=FALSE) | ||
| results[2,3] <- pchisq(q=B, df=1, lower.tail=FALSE) | ||
| results[3,3] <- pchisq(q=C, df=1, lower.tail=FALSE) |
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| # Load Data | ||
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| data1=read.csv("/Users/chelseaweibel/Desktop/Biocomputing/R.data/Biocomputing Exercise 9.Use/MmarinumGrowth.csv") |
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