Breaking up a character string into multiple character strings on different lines
I have a data frame that contains a long character string each associated with a 'Sample':
Sample Data
1 000000000000000000000000000N01000000000000N0N000000000N00N0000NN00N0N000000100000N00N0N0000000NNNN011111111111111111111111111111110000000000000000000N000000N0000000000N
2 000000000000000000000000000N01000000000000N0N000000000N00N0000NN00N0N000000100000N00N0N0000000NNNN011111111111111111111111111111110000000000000000000N000000N0000000000N
I would like to code an easy way to break this string into 5 pieces in the following format:
Sample X
CCT6 - Characters 1-33
GAT1 - Characters 34-68
IMD3 - Characters 69-99
PDR3 - Characters 100-130
RIM15 - Characters 131-168
Giving an output that looks like this for each sample:
Sample 1
CCT6 - 000000000000000000000000000N01000
GAT1 - 000000000N0N000000000N00N0000NN00N0
IMD3 - N000000100000N00N0N0000000NNNN0
PDR3 - 1111111111111111111111111111111
RIM15 - 0000000000000000000N000000N0000000000N
I've been a开发者_StackOverflow中文版ble to use the substr
function to break the long string into individual pieces but id like to able to automate it so I can get all 5 pieces in one output. Ideally this output would also be a data frame.
This is what ?read.fwf
is for.
First some data which looks like your question:
x <- data.frame(Sample = c(1, 2), Data = c("000000000000000000000000000N01000000000000N0N000000000N00N0000NN00N0N000000100000N00N0N0000000NNNN011111111111111111111111111111110000000000000000000N000000N0000000000N",
"000000000000000000000000000N01000000000000N0N000000000N00N0000NN00N0N000000100000N00N0N0000000NNNN011111111111111111111111111111110000000000000000000N000000N0000000000N"),
stringsAsFactors = FALSE)
Now use read.fwf
, specify the widths of each field and their names, and that all should be of mode character
. We wrap the text column of the example data in textConnection
so that we can treat it like a connection understood generally by the read.*
and other functions.
(strs <- read.fwf(textConnection(x$Data), widths = c(33, 35, 31, 31, 38), colClasses = "character", col.names = c("CCT6", "GAT1", "IMD3", "PDR3", "RIM15")))
CCT6 GAT1 IMD3 PDR3 RIM15
1 000000000000000000000000000N01000 000000000N0N000000000N00N0000NN00N0 N000000100000N00N0N0000000NNNN0 1111111111111111111111111111111 0000000000000000000N000000N0000000000N
2 000000000000000000000000000N01000 000000000N0N000000000N00N0000NN00N0 N000000100000N00N0N0000000NNNN0 1111111111111111111111111111111 0000000000000000000N000000N0000000000N
Now loop over the rows and print out each one as per your example:
for (i in 1:nrow(strs)) {
writeLines(paste("Sample", i))
writeLines(paste(names(strs), strs[i, ], sep = " - "))
}
Giving, for example:
Sample 2
CCT6 - 000000000000000000000000000N01000
GAT1 - 000000000N0N000000000N00N0000NN00N0
IMD3 - N000000100000N00N0N0000000NNNN0
PDR3 - 1111111111111111111111111111111
RIM15 - 0000000000000000000N000000N0000000000N
SampX <- textConnection("CCT6 - Characters 1-33
GAT1 - Characters 34-68
IMD3 - Characters 69-99
PDR3 - Characters 100-130
RIM15 - Characters 131-168")
dfSampX <-read.table(SampX, sep="-")
dfSampX$V4 <- as.numeric(sub("Characters ", "", dfSampX$V2))
sampdat <- read.table(textConnection("Sample Data
1 000000000000000000000000000N01000000000000N0N000000000N00N0000NN00N0N000000100000N00N0N0000000NNNN011111111111111111111111111111110000000000000000000N000000N0000000000N
2 000000000000000000000000000N01000000000000N0N000000000N00N0000NN00N0N000000100000N00N0N0000000NNNN011111111111111111111111111111110000000000000000000N000000N0000000000N
"), header=TRUE,stringsAsFactors=FALSE)
This code will break into segments:
apply(dfSampX[,c(3,4)], 1, function(x) substr(sampdat[,2], x["V4"], x["V3"]) )
[,1] [,2]
[1,] "000000000000000000000000000N01000" "000000000N0N000000000N00N0000NN00N0"
[2,] "000000000000000000000000000N01000" "000000000N0N000000000N00N0000NN00N0"
[,3] [,4]
[1,] "N000000100000N00N0N0000000NNNN0" "1111111111111111111111111111111"
[2,] "N000000100000N00N0N0000000NNNN0" "1111111111111111111111111111111"
[,5]
[1,] "0000000000000000000N000000N0000000000N"
[2,] "0000000000000000000N000000N0000000000N"
This code would deliver the fragments in list format:
res <- lapply(sampdat$Data, function(x)
apply(dfSampX[,c(3,4)], 1, function(y) substr(x, y["V4"], y["V3"]) ))
res2 <- lapply(res, function(x){ names(x) <- dfSampX$V1 ; return(x)} )
res2
[[1]]
CCT6 GAT1
"000000000000000000000000000N01000" "000000000N0N000000000N00N0000NN00N0"
IMD3 PDR3
"N000000100000N00N0N0000000NNNN0" "1111111111111111111111111111111"
RIM15
"0000000000000000000N000000N0000000000N"
[[2]]
CCT6 GAT1
"000000000000000000000000000N01000" "000000000N0N000000000N00N0000NN00N0"
IMD3 PDR3
"N000000100000N00N0N0000000NNNN0" "1111111111111111111111111111111"
RIM15
"0000000000000000000N000000N0000000000N"
And to get the specified output format:
for (samp in seq_along(res2) ) { cat("Sample ", samp, "\n")
invisible( sapply(1:5, function(y)
cat(as.character(dfSampX$V1[y]), " - ", res2[[samp]][y], "\n") ) ) }
Sample 1
CCT6 - 000000000000000000000000000N01000
GAT1 - 000000000N0N000000000N00N0000NN00N0
IMD3 - N000000100000N00N0N0000000NNNN0
PDR3 - 1111111111111111111111111111111
RIM15 - 0000000000000000000N000000N0000000000N
Sample 2
CCT6 - 000000000000000000000000000N01000
GAT1 - 000000000N0N000000000N00N0000NN00N0
IMD3 - N000000100000N00N0N0000000NNNN0
PDR3 - 1111111111111111111111111111111
RIM15 - 0000000000000000000N000000N0000000000N
The invisible
was needed to suppress the NULL returns from the list structure.
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