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read.tps function for R
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read.tps = function(data) { | |
# Reads the .tps file format produced by TPSDIG | |
# (http://life.bio.sunysb.edu/morph/ into a single data frame | |
# USAGE: R> read.tps("filename.tps") | |
a = readLines(data) # so we can do some searching and indexing | |
LM = grep("LM", a) # find the line numbers for LM | |
ID.ind = grep("ID", a) # find the line numbers for ID | |
# and the ID values, SCALE values, and image names | |
ID = gsub("(ID=)(.*)", "\\2", grep("ID", a, value=T)) | |
SCALE = gsub("(SCALE=)(.*)", "\\2", grep("SCALE", a, value=T)) | |
images = basename(gsub("(IMAGE=)(.*)", "\\2", a[ID.ind - 1])) | |
# FOR EACH LOOP | |
skip = LM # set how many lines to skip | |
# and how many rows to read | |
nrows = as.numeric(gsub("(LM=)(.*)", "\\2", grep("LM", a, value=T))) | |
l = length(LM) # number of loops we want | |
landmarks = vector("list", l) # create an empty list | |
for (i in 1:l) { | |
landmarks[i] = list(data.frame( | |
read.table(file=data, header=F, skip=LM[i], | |
nrows=nrows[i], col.names=c("X", "Y")), | |
IMAGE = as.character(images[i]), | |
ID = ID[i], | |
SCALE = SCALE[i])) | |
} | |
do.call(rbind, landmarks) # rbind the list items into a data.frame | |
} |
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