I've seen a few threads about this, but none that seem to answer my problem

I have a list of .txt files in a directory that I am reading into R and row
binding together.  I am using the following code to do so:

# Directory where files are found
my.txt.file.directory <- "C:/Jared/Data/Kenya/Wildebeest/Tracking_Data"

names.of.txt.files <-
list.files(my.txt.file.directory,pattern="all_data",ignore.case=TRUE,
full.names=TRUE)
# Print names that meet criteria in directory
names.of.txt.files

# The names.of.txt.files will be a vector with the names of all the txt
files
# Dataset will contain all the data in the directory

wildebeest <- NULL
# Run loop
for (i in 1:length(names.of.txt.files))
{
dat <- read.table(names.of.txt.files[i],header=FALSE)
# Row bind all data together into a file called 'wildebeest'
wildebeest <- rbind.data.frame(wildebeest,dat)
rm(dat)
}

When I run this script, I get an error such as:

18: In `[<-.factor`(`*tmp*`, ri, value = c(1714.36, 1711.27,  ... :
  invalid factor level, NAs generated


I think I have identified the problem such that when I identify the
structure of some of the files that I am reading in, columns are labeled as
"Factors".  In other files, the same columns are labeled as numeric
values.  Is there a way to assign the data structure to these columns in the
dataframe as they are being read in?  Any other suggestions to why I am
getting this error is appreciated.

Jared

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