I am using R to open up some saved .csv files in a particular pairwise manner and perform a statistical test (mantel.rtest
, found in the package "ade4"). The .csv files are sequentially named as either "fileAX" or "fileBY", where X and Y are integers.
I'd like to save the results of this test in a single file, but am running into some issues.
Here's the code (please forgive the inefficient usage of "paste":
library(ade4)
x <- 1:15; y <- 1:15
filename1 <- paste(paste(c("fileA"), 1:15, sep = ""), ".csv", sep = "")
filename2 <- paste(paste(c("fileB"), 1:15, sep = ""), ".csv", sep = "")
for (i in seq(along=x)) {
M1 <- read.开发者_StackOverflowtable(paste("C:\\scripts\\", filename1[i], sep = ""), header = FALSE, sep = ",")
for (j in seq(along=y)) {
M2 <- read.table(paste("C:\\scripts\\", filename2[j], sep = ""), header = FALSE, sep = ",")
mantelout <- mantel.rtest(dist(matrix(M1, 9, 9)), dist(matrix(M2, 9, 9)), nrepet = 99)
write.table(mantelout, file = "C:\\results\\mantelout")
}
}
Attempting to do this results in the following error message:
**Error in as.data.frame.default(x[[i]], optional = TRUE, stringsAsFactors = stringsAsFactors) :
cannot coerce class '"rtest"' into a data.frame**
I tried to convert "mantelout" to some friendlier format using various functions such as "unlist" and "as.vector", to no avail. Any thoughts?
Thanks, WAW
EDIT: I should note that the output of this test in the R environment looks as follows:
Monte-Carlo test
Observation: 0.5324712
Call: mantel.rtest(m1 = dist(matrix(M1, 9, 9)), m2 = dist(matrix(M2, 9, 9)), nrepet = 99)
Based on 99 replicates
Simulated p-value: 0.01"
Use str(rtest)
to have a look at the structure of the rtest
object: it's no surprise it won't fit in a data.frame. Try putting it in a list instead. You can save the list as a file using save(my.list, file="mylist.RData")
, and reload it later using load("mylist.RData")
.
You could use capture.output
+ writeLines
combo:
# example from help("lm")
ctl <- c(4.17,5.58,5.18,6.11,4.50,4.61,5.17,4.53,5.33,5.14)
trt <- c(4.81,4.17,4.41,3.59,5.87,3.83,6.03,4.89,4.32,4.69)
group <- gl(2,10,20, labels=c("Ctl","Trt"))
weight <- c(ctl, trt)
lm.D9 <- lm(weight ~ group)
writeLines(capture.output(lm.D9), file="my analysis.txt")
In your case should be:
writeLines(capture.output(mantelout), file = "C:\\results\\mantelout")
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