Displaying 20 results from an estimated 1700 matches similar to: "how to force a table to be square?"
2010 Jan 07
2
table() and setting useNA to be there by default?
Good morning,
Is there a way to get table() to default to including NAs - as in...
table(..., useNA='ifany') or table(..., useNA='always') or table(...,
exclude=NULL) ?
I can't see a way under table() or options() or searching the archives
(probably using the wrong keyword?).
> t1 <- c(1,2,3,3,3,2,NA,NA,NA,NA)
> table(t1)
t1
1 2 3
1 2 3
I keep forgetting to
2016 Aug 07
2
table(exclude = NULL) always includes NA
This is an example from https://stat.ethz.ch/pipermail/r-help/2007-May/132573.html .
With R 2.7.2:
> a <- c(1, 1, 2, 2, NA, 3); b <- c(2, 1, 1, 1, 1, 1)
> table(a, b, exclude = NULL)
b
a 1 2
1 1 1
2 2 0
3 1 0
<NA> 1 0
With R 3.3.1:
> a <- c(1, 1, 2, 2, NA, 3); b <- c(2, 1, 1, 1, 1, 1)
> table(a, b, exclude = NULL)
b
a 1 2
2016 Aug 11
2
table(exclude = NULL) always includes NA
I stand corrected. The part "If set to 'NULL', it implies 'useNA="always"'." is even in the documentation in R 2.8.0. It was my fault not to check carefully.
I wonder, why "always" was chosen for 'useNA' for exclude = NULL.
Why exclude = NULL is so special? What about another 'exclude' of length zero, like character(0) (not c(),
2016 Aug 17
1
table(exclude = NULL) always includes NA
The quirk as in table(1:3, exclude = 1, useNA = "ifany") is actually somewhat documented, and still in R devel r71104. In R help on 'table', in "Details" section:
It is best to supply factors rather than rely on coercion. In particular, ?exclude? will be used in coercion to a factor, and so values (not levels) which appear in ?exclude? before coercion will be mapped to
2016 Aug 15
1
table(exclude = NULL) always includes NA
>>>>> Martin Maechler <maechler at stat.math.ethz.ch>
>>>>> on Mon, 15 Aug 2016 11:07:43 +0200 writes:
>>>>> Suharto Anggono Suharto Anggono <suharto_anggono at yahoo.com>
>>>>> on Sun, 14 Aug 2016 03:42:08 +0000 writes:
>> useNA <- if (missing(useNA) && !missing(exclude) && !(NA %in%
2016 Apr 28
4
Interdependencies of variable types, logical expressions and NA
Hi All,
my script tries to do the following on factors:
> ## Check for case 3: Umsatz = 0 & Kunde = 1
> for (year in 2011:2015) {
+ Umsatz <- paste0("Umsatz_", year)
+ Kunde <- paste0("Kunde01_", year)
+ Check <- paste0("Check_U_0__Kd_1_", year)
+
+ cat('Creating', Check, 'from', Umsatz, "and", Kunde,
2016 Aug 14
2
table(exclude = NULL) always includes NA
useNA <- if (missing(useNA) && !missing(exclude) && !(NA %in% exclude)) "ifany"
An example where it change 'table' result for non-factor input, from https://stat.ethz.ch/pipermail/r-help/2005-April/069053.html :
x <- c(1,2,3,3,NA)
table(as.integer(x), exclude=NaN)
I bring the example up, in case that the change in result is not intended.
2012 Mar 19
1
Problem with table
R version 2.14.0, started with --vanilla
> table(c(1,2,3,4,NA), exclude=2, useNA='ifany')
1 3 4 <NA>
1 1 1 2
This came from a local user who wanted to remove one particular response
from some tables, but also wants to have NA always reported for data
checking purposes.
I don't think the above is what anyone would want.
PS.
This is on a
2016 Apr 28
0
Interdependencies of variable types, logical expressions and NA
Hi
Your script is not reproducible.
Creating Check_U_0__Kd_1_2011 from Umsatz_2011 and Kunde01_2011
Error in ifelse(Kunden01[[Umsatz]] == 0 & Kunden01[[Kunde]] == 1, 1, 0) :
object 'Kunden01' not found
>
This is interesting
x <- c(NA, FALSE, TRUE)
names(x) <- as.character(x)
outer(x, x, "&") ## AND table
<NA> FALSE TRUE
<NA> NA FALSE
2013 Aug 09
1
a fast table() for the 1D case
Hi,
table1D() below can be up to 60x faster than base::table() for the 1D
case. Here are the detailed speedups compared to base::table().
o With a logical vector of length 5M: 11x faster
(or more if 'useNA="always"')
o With factor/integer/numeric/character of length 1M and 9 levels
(or 9 distinct values for non-factors):
2015 Feb 09
3
xtabs and NA
Hi
I haven't found a way to produce a tabulation from factor data with NA
values using xtabs. Please find a minimal example below, it's also on
R-pubs [1]. Tested with R 3.1.2 and R-devel r67720.
It doesn't seem to be documented explicitly that it's not supported.
From reading the code [2] it looks like the relevant call to table()
doesn't set the "useNA"
2010 Sep 09
1
Emacs function argument hints
Hi
I've recently started using Emacs as my text editor for writing R script.
I am looking for a feature which I have seen on the standard R text editor
for Mac OS. In the Mac OS editor when you start typing a function, the
possible arguments for that function appear at the bottom of the window.
E.g. if you type "table( " before you finish typing you can see at the
bottom of the
2016 Apr 28
0
Antwort: RE: Interdependencies of variable types, logical expressions and NA
Hi
your initial ds
> str(ds)
'data.frame': 2 obs. of 3 variables:
$ var1: num 1 1
$ var2: logi TRUE FALSE
$ var3: logi NA NA
first result
> str(ds)
'data.frame': 2 obs. of 6 variables:
$ var1 : num 1 1
$ var2 : logi TRUE FALSE
$ var3 : logi NA NA
$ value_and_logical: logi TRUE TRUE
$ logical_and_na : logi TRUE NA
2011 Sep 14
1
svytable including NAs
Dear all
I'm creating two way tables based on weighted survey data using svytable and want to include NAs as a level in the table.
For unweighted data I use table(..., useNA="ifany"). Is there any equivalent for svytable?
If not, is there a solution using a different function?
Thanks
Tim
--
Tim Elwell-Sutton
The University of Hong Kong
Office: 3906 2053
Mob: 6084 5654
2009 Feb 27
1
cross tabulation: convert frequencies to percentages
Hello,
might be rather easy for R pros, but I've been searching to the dead
end to ...
twsource.area <- table(twsource, area, useNA="ifany")
gives me a nice cross tabulation of frequencies of two factors, but
now I want to convert to pecentages of those absolute values. In
addition I'd like an extra column and an extra row with absolute sums.
I know, Excel or the
2011 Apr 29
1
3-way contingency table
Hi,
I have large data frame with many columns. A short example is given below:
> dataH
host ms01 ms31 ms33 ms34
1 cattle 4 20 9 6
2 sheep 4 3 4 5
3 cattle 4 3 4 5
4 cattle 4 3 4 5
5 sheep 4 3 5 5
6 goat 4 3 4 5
7 sheep 4 3 5 5
8 goat 4 3 4 5
9 goat 4 3 4 5
10 cattle
2009 Mar 24
1
CONFIDENCE INTERVAL FOR GLMER MODEL
I've built a poisson regression model for multiple subjects by using the
GLMER function. I've also developed some curves for defining its limits but
I did not succeed in developing confidence interval for the model's curve
(confint or predict does not work - only for glm).
Does anyone know how can I produce confidence interva for a glmer model?
I'll appriciate any help...
Liat
--
2016 Sep 10
1
table(exclude = NULL) always includes NA
Looking at the code of function 'table' in R devel r71227, I see that the part "remove NA level if it was added only for excluded in factor(a, exclude=.)" is not quite right.
In
is.na(a) <- match(a0, c(exclude,NA), nomatch=0L) ,
I think that what is intended is
a[a0 %in% c(exclude,NA)] <- NA .
So, it should be
is.na(a) <- match(a0, c(exclude,NA),
2010 Sep 26
4
Problem with unlist
Hello I want to unlist the attached element getting only the first element
in each element of the list. The last element of the list looks as this:
[[5065]]
[[5065]]$Pluv3Meses
[1] 274.4
[[5065]]$PluvMesesMedio
[1] 378.2667
[[5065]]$Pluv2UltimosMeses
[1] 23.33333
So I would like to get for each element of the list the element called
Pluv3Meses. The whole list has 5065 elements but when I try to
2009 Jun 03
1
Still can't find missing data - How do I get NA in xtabs with factors?
The problem here is Table doesn't seem to have a way to weigh the data.
> ToyData
Data1 Data2 Data3 Weight
101 Sam Red Banana 1.1
102 Sam Green Banana 2.1
103 Sam Blue Orange 2.1
104 Fred Red Orange 2.1
105 Fred Green Guava 2.1
106 Fred Blue Guava 2.1
107 <NA> Red Pear 50.1
108 <NA> Green Pear 50.1
109 <NA> Blue