Displaying 8 results from an estimated 8 matches for "tbl1".
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2018 Feb 03
2
find unique and summerize
Thank you so much Rui.
1. How do I export this table to excel file?
I used this
tbl1 <- table(Country, IDNum)
tbl2=addmargins(tbl1)
write.xlsx(tbl2,"tt1.xlsx"),sheetName="summary", row.names=FALSE)
The above did not give me that table.
2. I want select those unique Ids that do have records in all countries.
From the above data set, this ID &qu...
2018 Feb 05
0
find unique and summerize
...po.pt
>> <mailto:ruipbarradas at sapo.pt>> wrote:
>>
>> Hello,
>>
>> As for the first question, instead of writing a xlsx file, maybe it
>> is easier to write a csv file and then open it with Excel.
>>
>> tbl2 <- addmargins(tbl1)
>> write.csv(tbl2, "tt1.csv")
>>
>> As for the second question, the following does it.
>>
>> inx <- apply(tbl1, 1, function(x) all(x != 0))
>> tbl1b <- addmargins(tbl1[inx, ])
>> tbl1b
>>
>>
>> Hope...
2012 May 31
1
svychisq??
...atrix(c(am18$M1_3_ESTRATO),ncol=1)
e<-matrix(c(rep(0.078,315)),ncol=1)
Muestra.comp<-svydesign(id=~b,strata
=~d,nest=TRUE,weights=~c,data=am18, fpc=~e)
ocupacion
<-matrix(c(am18$M1_19_OCUPACIONPRINCIPALACTUAL),ncol=1)
APES<-matrix(c(am18$M3_11_AUTOPERCEPCIONSALUDGENERAL),ncol=1)
tbl1<-svytable(~ocupacion+APES,Muestra.comp)
summary(tbl1, statistic="Chisq")
Error en
`[.data.frame`(design$variables, , as.character(rows)) :
undefined columns
selected
when I call am18 at the
end says it is a data.frame
(to.data.frame = TRUE))
and by that I aprace erro...
2018 Feb 03
0
find unique and summerize
Hello,
Thanks for the reproducible example.
See if the following does what you want.
IDNum <- sub("^(\\d+).*", "\\1", mydata$ID)
Country <- sub("^\\d+(.*)", "\\1", mydata$ID)
tbl1 <- table(Country, IDNum)
addmargins(tbl1)
tbl2 <- xtabs(Y ~ Country + IDNum, mydata)
addmargins(tbl2)
Hope this helps,
Rui Barradas
On 2/3/2018 3:00 AM, Val wrote:
> Hi all,
>
> I have a data set need to be summarized by unique ID (count and sum of a
> variable)
> A uniq...
2018 Feb 03
2
find unique and summerize
Hi all,
I have a data set need to be summarized by unique ID (count and sum of a
variable)
A unique individual ID (country name Abbreviation followed by an integer
numbers) may have observation in several countries. Then the ID was
changed by adding the country code as a prefix and new ID was constructed
or recorded like (country code, + the original unique ID Example
original ID
2006 Nov 09
1
Discriminant Analysis- Apparent error rate
...the misclasification rate
of an estimated discrimated function (hyDA)
hyDA <- with(hyB, lda(Maturity ~ Length + Weight))
, so here is what I do (code from S-plus 6.1
Guide to Statistics Vol. 2 p 101)
test <- predict(hyDA)
tbl <- table(hyB$Maturity, test$class)
tbl <- tbl[-2,-2]
tbl1 <- cbind(tbl, error = (apply(tbl, 1, sum) - diag(tbl)) /
hyDA$counts)
sum(hyDA$prior * tbl1[,'error'])
The error rates I get is 0.57 which is very large
I was wondering if I'm doing something wrong.
Thanks in advance.
> version
_
plat...
2009 Jul 28
4
How to do poisson distribution test like this?
Dear R-listers,
I want to reperfrom a poisson distribution test that presented in a
recent-published biological research paper (Plant Physiology 2008, vol 148,
pp. 1189-1200). That test is about the occurrence number of a kind of gene
in separate chromosomes.
For instance:
The observed gene number in chromosome A is 36.
The expected gene number in chromosome A is 30.
Then, the authors got a
2013 Apr 06
2
manipulating R contingency tables
Hi Guys
I am back with another thing that's puzzling me.
I am creating contingency tables but then I want to filter out certain
columns and also find if any entry in the table is 0.
Example:
gts
labels A1 B2 G3
1 21 127 120
2 23 112 0
Here I want to remove B2 column from this table and also if any entry is 0
in this case G3 second row.
Missing out on how to do