I am trying to importa single column of a text file data set where each file is a single day of data. I want to take the mean of each day's wind speed. Here is the code I have written for that:
daily.wind.speed <- c()
file.names <- dir("C:\\Users\\User Name\\Desktop\\R project\\Sightings Data\\Weather Data", pattern =".txt")
for(i in 1:length(file.names))
{
##import data file into data frame
weather.data <-read.delim(file.names[i])
## extract wind speed column
wind.speed <- weather.data[3]
##Attempt to fix numeric error
##wind.speed.num <- as.numeric(wind.speed)
##Take the column mean of wind speed
daily.avg <- colMeans(wind.speed,na.rm=T)
##Add daily average to list
daily.wind.speed <- c(daily.wind.speed,daily.avg)
##Print for troubleshooting and progress
print(daily.wind.speed)
}
This code seems to work on some files in my data set, but others give me this error during this section of the code:
> daily.avg <- colMeans(wind.speed,na.rm=T)
Error in colMeans(wind.speed, na.rm = T) : 'x' must be numeric
I am also having trouble converting these values to numeric and am looking for options to either convert my data to numeric, or to possibly take the mean in a different way that dosen't encounter this issue.
> as.numeric(wind.speed.df)
Error: (list) object cannot be coerced to type 'double'
Even though this is not a reproducible example the problem is that you are applying a matrix function to a vector so it won't work. Just change the colMeans
for mean
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