How to split a DVD into multiple CDs
Solution 1
Instead of burning it into multiple CDs, why don't you use bootable USB with Windows 7 installation instead? Save your CDs and your time as well. I have wrote a blog post to make windows 7 installation from USB on my blog. You can read it here. Hope that can help you. Regards. Ivan.
Solution 2
Then you can't do it because the installer does not allow you to change disks during the install.
Alternatives:
- Buy/borrow a (USB) DVD-ROM
- Use a second computer or a LiveCD, format a partition on your harddisk as NTFS (version 6), set it as primary/active partition and copy the entire contents of the DVD into that partition. This should allow you to install from harddisk.
- If you have a Windows PE LiveCD, you can also start the installer directly from there.
- You can also try restoring the VHD/WIM image directly to disk, but it's actually a bit complicated.
AginaharijaR
Updated on September 18, 2022Comments
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AginaharijaR over 1 year
This is my first post so hello everybody! I hope it will not be to nooby.
I have a problem of calculation Cochran Q-test for some of my data. I am receiving error that says:
Error in binom.test(length(signs[signs > 0]), length(signs[signs != 0]), : 'n' must be a positive integer >= 'x'
This code helps to see what is happening (part of my data here):
Data <- c(0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1) Data <- as.data.frame(matrix(data, 5, 10)) library(RVAideMemoire) library(tidyr) tData <- as.data.frame(t(Data)) colnames(tData) <- c(rep(1:5)) tData$id <- factor(row.names(tData)) tData %>% tidyr::gather(tree, count, c(1:5)) -> tData2 xy <- cochran.qtest(count ~ id | tree, data = tData2, alpha = 0.05)
But if I subset my data, then it works. Where is the problem?
data <- c(0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1) data <- as.data.frame(matrix(data, 5, 10)) library(RVAideMemoire) library(tidyr) tData <- as.data.frame(t(Data[1:4,])) colnames(tData) <- c(rep(1:4)) tData$id <- factor(row.names(tData)) tData %>% tidyr::gather(tree, count, c(1:4)) -> tData2 xy <- cochran.qtest(count ~ id | tree, data = tData2, alpha = 0.05)
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Justin Pink about 12 yearsi have already tried this, but my motherboard doesnt boot USBs.