R Brown-bag seminars : Seminar-8
- 1. R Brown-bag seminarR Brown-bag seminar Session 8Session 8
- 2. Summary Introduction Data Import (csv, txt ...) Data Types Data-frames Question (sapply(tree,class) --ref(1) ) Basic Operations Help Summery Subset and Filter Duplicates and NA Basic analysis/stats Graphs Default package ggplot How many have installed ggplot2 package Ref. 1) http://www.statmethods.net/input/datatypes.html
- 3. Learn to Code & Code to Learn
- 5. Tree <- read.table("datavis.csv",sep=",",header=T) ?separator ?Yes file has a Header library(ggplot2) RStudio File → New File → R Script
- 6. ggplot(data=tree, aes(x=PosTopoSeq)) + geom_bar(stat="bin") ? ? ? Geometry = bar statistical transformation = bin bin = number of cases in group Data frame Field on x
- 7. ggplot(data=tree, aes(x=VegStructure)) + geom_bar(stat="bin") WOW! Shrubland
- 8. Some colours please ggplot(data=tree, aes(x=VegStructure,colour=Site)) + geom_bar(stat="bin") ?Different colours for each site
- 9. ggplot(data=tree, aes(x=VegStructure,fill=Site)) + geom_bar(stat="bin") Fill geometry Veg. Structure = Shrubland is in all sites & Site 1 is richest in terms of Veg. Structure
- 10. Question: Confirm that Shrubland is present in every site ggplot(data=tree) + geom_boxplot(aes(Site,avTreeDen,col=Site))+ coord_flip() + facet_wrap(~VegStructure,ncol=1) Yes Veg. Structure = Shrubland is in all sites
- 13. ggplot(data=tree,aes(x=Carbon,y=Clay)) + geom_line(colour="red", linetype="dashed", size=0.5) + geom_point(colour="red", size=2, shape=22, fill="red") ? linetype 0 = blank, 1 = solid, 2 = dashed, 3 = dotted, 4 = dotdash, 5 = longdash, 6 = twodash
- 14. what is shape = 25
- 17. gg <- ggplot() + geom_point(data=tree,aes(x=Carbon,y=Clay,col=Site)) + geom_line(data=tree,aes(x=Carbon,y=Clay,col=Site)) plot(gg)
- 18. ggplot(data=tree) + geom_boxplot(aes(Site, pH)) ggplot(data=tree) + geom_boxplot(aes(Site, Clay)) ggplot(data=tree) + geom_boxplot(aes(Site, Carbon))
- 19. What we have done today? Coding landscape portal example
- 20. Assignment Write a program − Load data − Show stats − Make graphs − Explain graphs
- 21. End