O-ha, sorry, Luca, I mixed up arguments: it shouldn't be "subset" but
"select".
apply( subset( d2, select = V13:V239), 1, function( x) any( x != ""))
should work.
"Auf Wiederhören!" ;-)
Regards -- Gerrit
On Thu, 2 Jan 2014, Luca Meyer wrote:
Hi Gerrit,
Thank you for the suggestion. Unfortunatedly the line of code you suggest -
i.e.
apply( subset( d2, subset = V13:V239), 1, function( x) any( x != ""))
returns the same error. Any other suggestion?
Danke schôn und auf wiederhoren....
Luca
2014/1/2 Gerrit Eichner <gerrit.eich...@math.uni-giessen.de>
Hello, Luca,
also a happy new year!
It's not quite clear to me what you want to do, but note first that the
":"-operator is a short-cut for seq() with by = 1 (look at ?seq), and that
it usually (!) does not work on columns of data frames. Exception: when
used for the argument subset of function subset().
Second, you seem to want to check in each row of d2 if there is any entry
different from "", right?
So, does
apply( subset( d2, subset = V13:V239), 1, function( x) any( x != ""))
what you want?
Hth -- Gerrit
On Thu, 2 Jan 2014, Luca Meyer wrote:
Happy new year fellows,
I am trying to do something I believe should be fairly straightforward but
I cannot find my way out.
My dataset d2 is 26 rows by 245 columns, exclusively char variables. I
would like to check whether at least one column from V13 till V239 (they
are in numerical sequence) has been filled in, so I try
d2$check <- c(d2$V13:d2$V239)
and/or
d2$check <- paste(d2$V13:d2$V239,sep="")
but I get (translated from Italian):
Error in d2$V13:d2$V239 : argument NA/NaN
I have tried nchar but the same error occurs. I have also tried to run the
above functions on a smaller variable subset (V13, V14, V15, see below for
details) just to double check in case some variable would erroneously be
in
another format, but the same occur.
d2$V13
[1] "" "" ""
"" "" "" "da -5.1% a -10%"
""
[9] "" "" ""
"" "" "" ""
""
[17] "" "" ""
"" "" "" ""
""
[25] "" ""
d2$V14
[1] "" "" ""
"" "" "" "da -10.1% a
-15%"
""
[9] "" "" ""
"" "" "" ""
""
[17] "" "" ""
"" "" "" ""
""
[25] "" ""
d2$V15
[1] "" "" "" "" "" "" "" "" "" "" "" "" "" "" "" "" "" "" "" "" "" "" ""
"" "" ""
Can anyone suggest an alternative function for me to create a variable
that
checks whether there is at least one value for each of the 26 records I
need to analyze?
Thank you in advance,
Luca
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