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rworkshop8 [2014/11/02 21:50] johannabradie [Flow Control] |
rworkshop8 [2014/11/03 11:18] (current) johannabradie |
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Download the R script and data for this lesson: | Download the R script and data for this lesson: | ||
- | -- NEED TO PUT R SCRIPT AND DATA HERE | + | |
+ | [[http://qcbs.ca/wiki/_media/co2_good.csv|CO2 Dataset]] | ||
Line 55: | Line 56: | ||
<code rsplus> | <code rsplus> | ||
if (2+2)==4 { | if (2+2)==4 { | ||
+ | print("Arithmetic works.") } | ||
+ | |||
+ | if (2+1)==4 { | ||
print("Arithmetic works.") } | print("Arithmetic works.") } | ||
</code> | </code> | ||
- | The curly brackets { } are used so that R knows to expect more input. When using brackets, R waits to evaluate the command until the brackets have been closed. | + | Curly brackets { } are used so that R knows to expect more input. When using brackets, R waits to evaluate the command until the brackets have been closed. If the curly brackets are not used, R may not behave as you are expecting. For example, try: |
- | + | ||
- | If the curly brackets are not used, R may not behave as you are expecting. For example, try: | + | |
<code rsplus> | <code rsplus> | ||
- | if (2+2)==4 print("Arithmetic works.") | + | if (2+1)==4 print("Arithmetic works.") |
else print("Houston, we have a problem.") | else print("Houston, we have a problem.") | ||
</code> | </code> | ||
Line 78: | Line 80: | ||
} # Since all brackets are now closed, R will evaluate the commands. | } # Since all brackets are now closed, R will evaluate the commands. | ||
</code> | </code> | ||
+ | |||
+ | Note that if and if/else test a single condition. If you want to test a vector of conditions (and get a vector of results), you can use ifelse: | ||
+ | |||
+ | For example, | ||
+ | <code rsplus> | ||
+ | a<-1:10 | ||
+ | ifelse(a>5,"yes","no") | ||
+ | </code> | ||
+ | |||
+ | You can also use ifelse in a function to apply a function only under certain conditions: | ||
+ | |||
+ | |||
+ | For example, | ||
+ | <code rsplus> | ||
+ | a<-(-4):5 | ||
+ | sqrt(ifelse(a>=0,a,NA)) | ||
+ | </code> | ||
+ | |||
+ | **Exercise** | ||
+ | |||
+ | <code rsplus> | ||
+ | Paws<-"cat" | ||
+ | Scruffy<-"dog" | ||
+ | Sassy<-cat | ||
+ | animals<-c(Paws,Scruffy,Sassy) | ||
+ | </code> | ||
+ | |||
+ | 1. Use an if statement to print "meow" if Paws is a "cat". | ||
+ | |||
+ | <hidden> | ||
+ | <code rsplus> | ||
+ | if(Paws=="cat") { | ||
+ | print("meow")} | ||
+ | </code> | ||
+ | </hidden> | ||
+ | |||
+ | 2. Use an if/else statement to print "woof" if you supply an object that is a "dog" and "meow" if it is not. Try it out with Paws and Scruffy. | ||
+ | |||
+ | |||
+ | <hidden> | ||
+ | <code rsplus> | ||
+ | if(Scruffy=="dog") { | ||
+ | print("woof") | ||
+ | } else { | ||
+ | print ("meow") | ||
+ | } | ||
+ | |||
+ | if(Paws=="dog") { | ||
+ | print("woof") | ||
+ | } else { | ||
+ | print ("meow") | ||
+ | } | ||
+ | </code> | ||
+ | </hidden> | ||
+ | |||
+ | 3. Use an ifelse statement to display "woof" for animals that are dogs and "meow" for animals that are cats. | ||
+ | |||
+ | <hidden> | ||
+ | <code rsplus> | ||
+ | ifelse(animals=="dog","woof","meow") | ||
+ | </code> | ||
+ | </hidden> | ||
+ | |||
==== Loops ==== | ==== Loops ==== | ||
Line 90: | Line 155: | ||
===for loops=== | ===for loops=== | ||
- | The most common loop is the //for loop//. Use a //for loop// to execute a block of code a known number of times. | + | The //for loop// is the most common type of loop. Use a //for loop// to execute a block of code a known number of times. |
**Syntax** | **Syntax** | ||
Line 133: | Line 198: | ||
<file rsplus> | <file rsplus> | ||
CO2<-read.csv("co2_data.csv") | CO2<-read.csv("co2_data.csv") | ||
+ | for (i in 1:length(CO2[,1])) { # for each row in the CO2 dataset | ||
+ | print(CO2$conc[i]) #print the CO2 concentration | ||
+ | } | ||
+ | |||
+ | for (i in 1:length(CO2[,1])) { # for each row in the CO2 dataset | ||
+ | if(CO2$Type[i]=="Quebec") { # if the type is "Quebec" | ||
+ | print(CO2$conc[i]) #print the CO2 concentration } | ||
+ | } | ||
+ | } | ||
</file> | </file> | ||
+ | |||
+ | The expression part of the loop can be almost anything and is usually a compound statement containing many commands. | ||
+ | |||
+ | <file rsplus> | ||
+ | for (i in 4:5) { # for i in 4 to 5 | ||
+ | print(colnames(CO2[i])) | ||
+ | print(mean(CO2[,i])) #print the mean of that column from the CO2 dataset | ||
+ | } | ||
+ | |||
+ | </file> | ||
+ | |||
+ | Note that this could be done more quickly using apply(), but that wouldn't teach you about loops. | ||
+ | |||
+ | //while loops// and //repeat loops// operate similarly to //for loops//. Once you understand how //for loops// work, you should be able to use any type of loop. You will see some examples of //while loops// and //repeat loops// in the next section. | ||
+ | |||
+ | **Exercise** | ||
+ | |||
+ | NEED TO WRITE IN AN EXERCISE | ||
+ | |||
+ | ==== Loop Modifications ==== | ||
+ | |||
+ | Normally, loops iterate over and over until they finish. To change this behavior, you can use **break** which breaks out of the loops execution entirely, or **next**, which stops executing the current iteration and jumps to the next iteration. | ||
+ | |||
+ | For example, | ||
+ | |||
+ | <file rsplus> | ||
+ | |||
+ | # Print the CO2 concentrations for "chilled" treatments and keep count of how many replications there were. | ||
+ | |||
+ | count=0 | ||
+ | for (i in 1:length(CO2[,1])) { | ||
+ | if (CO2$Treatment[i]=="nonchilled") next #Skip to next iteration if treatment is nonchilled | ||
+ | count=count+1 | ||
+ | print(CO2$conc[i]) | ||
+ | } | ||
+ | print(count) # The count and print command were performed 42 times. | ||
+ | |||
+ | # This could be equivalently written using a repeat loop: | ||
+ | |||
+ | count=0 | ||
+ | i=0 | ||
+ | repeat { | ||
+ | i <- i + 1 | ||
+ | if (CO2$Treatment[i]=="nonchilled") next # skip this loop | ||
+ | count=count+1 | ||
+ | print(CO2$conc[i]) | ||
+ | if (i == length(CO2[,1])) break # stop looping | ||
+ | } | ||
+ | |||
+ | print(count) | ||
+ | |||
+ | ### This could also be written using a while loop: | ||
+ | |||
+ | i <- 0 | ||
+ | count=0 | ||
+ | while (i < length(CO2[,1])) | ||
+ | { | ||
+ | i <- i + 1 | ||
+ | if (CO2$Treatment[i]=="nonchilled") next # skip this loop | ||
+ | count=count+1 | ||
+ | print(CO2$conc[i]) | ||
+ | } | ||
+ | print(count) | ||
+ | </file> | ||
+ | |||
+ | **Exercise** | ||
+ | |||
+ | NEED TO WRITE IN AN EXERCISE | ||
+ | |||
+ | **Using flow control to make a complex plot** | ||
+ | |||
+ | The idea here is that we have a dataset we want to plot, with concentration and uptake values, but each point has a type (Quebec or Mississippi) and a treatment ("chilled" or "nonchilled") and we want to plot the points differently for these cases. | ||
+ | |||
+ | You can read more about mathematical typesetting with ?plotmath, and more about the way # that different colors, sizes, rotations, etc. are used in ?par. | ||
+ | |||
+ | <file rsplus> | ||
+ | |||
+ | head(CO2) # Look at the dataset | ||
+ | unique(CO2$Type) | ||
+ | unique(CO2$Treatment) | ||
+ | |||
+ | # plot the dataset, showing each type and treatment as a different colour | ||
+ | |||
+ | plot(x=CO2$conc, y=CO2$uptake, type="n", cex.lab=1.4,xlab="CO2 concentration", ylab="CO2 uptake") # Type "n" tells R to not actually plot the points. | ||
+ | |||
+ | for (i in 1:length(CO2[,1])) | ||
+ | { | ||
+ | if (CO2$Type[i]=="Quebec"&CO2$Treatment[i]=="nonchilled") { | ||
+ | points(CO2$conc[i],CO2$uptake[i],col="red",type="p") } | ||
+ | if (CO2$Type[i]=="Quebec"&CO2$Treatment[i]=="chilled") { | ||
+ | points(CO2$conc[i],CO2$uptake[i],col="blue") } | ||
+ | if (CO2$Type[i]=="Mississippi"&CO2$Treatment[i]=="nonchilled") { | ||
+ | points(CO2$conc[i],CO2$uptake[i],col="orange") } | ||
+ | if (CO2$Type[i]=="Mississippi"&CO2$Treatment[i]=="chilled") { | ||
+ | points(CO2$conc[i],CO2$uptake[i],col="green") } | ||
+ | } | ||
+ | |||
+ | </file> | ||
+ | |||
+ | **Exercise** | ||
+ | |||
+ | NEED TO WRITE IN AN EXERCISE | ||
<file rsplus> | <file rsplus> | ||
</file> | </file> |