Reputation: 747
I am new to R and having a problem with printing the results of 'for' loop in R. Here is my code:
afile <- read.table(file = 'data.txt', head =T)##Has three columns Lab, Store and Batch
lab1 <- afile$Lab[afile$Batch == 1]
lab2 <- afile$Lab[afile$Batch == 2]
lab3 <- afile$Lab[afile$Batch == 3]
lab_list <- list(lab1,lab2,lab3)
for (i in 1:2){
x=lab_list[[i]]
y=lab_list[[i+1]]
t.test(x,y,alternative='two.sided',conf.level=0.95)
}
This code runs without any error but produces no output on screen. I tried taking results in a variable using 'assign' but that produces error:
for (i in 1:2){x=lab_list[[i]];y=lab_list[[i+1]];assign(paste(res,i,sep=''),t.test(x,y,alternative='two.sided',conf.level=0.95))}
Warning messages:
1: In assign(paste(res, i, sep = ""), t.test(x, y, alternative = "two.sided", :
only the first element is used as variable name
2: In assign(paste(res, i, sep = ""), t.test(x, y, alternative = "two.sided", :
only the first element is used as variable name
Please help me on how can I perform t.test in loop and get their results i.e. print on screen or save in variable.
AK
Upvotes: 1
Views: 9987
Reputation: 747
In addition to 'Hansons' solution of printing, results can be saved and printed like:
result <- vector("list",6)
for (i in 1:5){x=lab_list[[i]];y=lab_list[[i+1]];result[[i]] = t.test(x,y,alternative='two.sided',conf.level=0.95)}
result
AK
Upvotes: 1
Reputation: 121568
I would rewrite your code like this :
I assume your data is like this
afile <- data.frame(Batch= sample(1:3,10,rep=TRUE),lab=rnorm(10))
afile
Batch lab
1 2 0.4075675
2 1 0.3006192
3 1 -0.4824655
4 3 1.0656481
5 1 0.1741648
6 2 -1.4911526
7 2 0.2216970
8 1 -0.3862147
9 1 -0.4578520
10 1 -0.6298040
Then using lapply
you can store your result in a list :
lapply(1:2,function(i){
x <- subset(afile,Batch==i)
y <- subset(afile,Batch==i+1)
t.test(x,y,alternative='two.sided',conf.level=0.95)
})
[[1]]
Welch Two Sample t-test
data: x and y
t = -0.7829, df = 6.257, p-value = 0.4623
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
-1.964637 1.005008
sample estimates:
mean of x mean of y
0.3765373 0.8563520
[[2]]
Welch Two Sample t-test
data: x and y
t = -1.0439, df = 1.797, p-value = 0.4165
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
-6.588720 4.235776
sample estimates:
mean of x mean of y
0.856352 2.032824
Upvotes: 4
Reputation: 6213
In a loop, you need to explicitly print your results in many cases. Try:
print(t.test(x,y,alternative='two.sided',conf.level=0.95))
or
print(summary(t.test(x,y,alternative='two.sided',conf.level=0.95)))
Upvotes: 2