I am not sure that format solves the problem (although again I may well be missing something)

# trailing zeros on large numbers
>format(vec, digits=4, scientific=F)
[1] " 0.8000" " 123.4567" " 0.1235" " 7.6543" "7654321.0000"

# misses trailing zeros
> format(vec[1], digits=4, scientific=F)
[1] "0.8"

I guess I could resort to writing a routine that called format with different arguments depending on the magnitude of each number in the vector, but I was hoping for a cleaner solution. Any thoughts?

On 14 Aug 2008, at 14:57, Prof Brian Ripley wrote:

I think you missed the function called 'format'. R's internal print routines (used by format) calculate the format passed to (C level) sprintf based on the input, including 'digits'. Just make sure you pass one number at a time to format() if you don't want a common layout for all the numbers.

On Thu, 14 Aug 2008, [EMAIL PROTECTED] wrote:

Hi everyone,

I can't figure out how to format numbers to have a certain number of significant figures (as opposed to decimal places) without using scientific notation and including trailing zeros if necessary.

e.g. I would like to achieve the following:
0.800001  --->  0.8000
123.4567    --->    123.4
0.1234567  --->    0.1234
7.654321    --->    7.654
7654321     --->    7654000

It seems like it should be simple, but I can't seem to do this using sprintf. Specifically, I get the following outputs:

vec = c(0.800001, 123.4567, 0.1234567, 7.654321, 7654321)

# this specifies precision after decimal point, rather than significant figures
sprintf("%.4f", vec)
[1] "0.8000" "123.4567" "0.1235" "7.6543" "7654321.0000"

#  uses scientific notation, but significant figures are correct
sprintf("%.3e", vec)
[1] "8.000e-01" "1.235e+02" "1.235e-01" "7.654e+00" "7.654e+06"

# correct number of significant figures, and without scientific notation, but has trailing zeros on large numbers
sprintf("%.4f", sprintf("%.3e", vec))
[1] "0.8000" "123.5000" "0.1235" "7.6540" "7654000.0000"

Am I missing something obvious and can someone help me?

Many thanks

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Brian D. Ripley,                  [EMAIL PROTECTED]
Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
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