1, 2, 3, 4, 5
I find it good to put in counter-examples such as a column that is non-factor.
I thought that a non-factor column would probably break your code, but happily
it survived. You might think about writing two functions: one to pick the
columns to be assessed and the other to return a str
els(y), collapse=", "))), right=FALSE)}
> PrintLvls2(dat1)
Lvls Names
col1 92, 6, 7, 10, 15, 16, 17, 23, 24
col2 7b, c, d, e, g, h, j
col3 51, 2, 3, 4, 5
Thanks.
Dan
-Original Message-----
From: Bert Gunter [mailto:gunter.ber..
To highlight:
"Basically all Null values" is a meaningless phrase in R. ?Null ?NA
?NaN have **very specific meanings** in R and have nothing to do with
the various sorts of whitespace characters that David mentions
(spaces, tabs...). If you wish to use R, you **must** understand the
distinctions (
On Oct 23, 2012, at 11:17 AM, Lopez, Dan wrote:
> Hi,
>
> Is there a function I can use on my dataframe to give me a concise summary of
> variables that are NA,blank,etc? Basically all Null values, Empty strings,
> white space, blank values. Ideally it would look something like the below:
>
>
Hi,
Is there a function I can use on my dataframe to give me a concise summary of
variables that are NA,blank,etc? Basically all Null values, Empty strings,
white space, blank values. Ideally it would look something like the below:
# it should only includes the fields with NAs, blanks, etc. Add
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