Average values in a csv file to the nearest whole number in R

Question

I have a csv file containing information on available beds in UK hospitals. The download link for the file is here:

CSV File Download

The file is a combination of characters and integers so, with my very limited knowledge of R, It doesn't seem strait-forward for me to use ceiling() or floor() to round up.

The data I want to round up is all of these:

Integers to Round

Basically any number which is not whole within this file I want to be made a whole number.

So far all I have done is read the file into R like so:

NHS_Data <- read.csv(file="data.csv", header=TRUE, sep=",")

Which looks like this:

CSV File in R

Now I'm afraid I'm stuck - Can anybody help?

Many thanks, George

Answer 1

You have a bit more going on in the CSV than just rounding up. R dislikes having numbers in the column names and dashes - . So, it will likely bring them in as "X.2009.10" or something similar.

You will need to be aware of this.

Based on what you have above you would start as you did:

NHS_Data <- read.csv(file="data.csv", header=TRUE, sep=",")

Then you will identify the column you want to raise or lower and wrap it in ceiling or floor like so:

NHS_Data$X.2009.10 <- floor(NHS_Data$X.2009.10)

This tells it to save into the data frame NHS_Data at the location of the column X.2009.10 each row of X.2009.10 at the largest whole integer below your floating number in the same cell.