Displaying 5 results from an estimated 5 matches for "smalldata".
2018 Mar 22
3
How do I include a factor in a groupedData object? Meaning and use of inner and outer parameters
...ning or, or the use for the inner= and outer= parameters in the call to groupedData. Can someone either explain the meaning of these parameters or refer me to a source that give a clear explanation?
> fit0 <- lmer(THmean~INTRVNTN+factor(TimePtID)+INTRVNTN*factor(TimePtID)+(1|PatientID),data=smalldata)
> sdgd <- groupedData(THmean~INTRVNTN+TimePtID+INTRVNTN*TimePtID|PatientID,data=smalldata)
Warning messages:
1: In Ops.factor(INTRVNTN, TimePtID) : ?+? not meaningful for factors
2: In Ops.factor(INTRVNTN, TimePtID) : ?*? not meaningful for factors
Thank you,
John
John David Sorkin M.D....
2018 Mar 22
0
How do I include a factor in a groupedData object? Meaning and use of inner and outer parameters
...e use for the inner= and outer= parameters in the call to groupedData. Can someone either explain the meaning of these parameters or refer me to a source that give a clear explanation?
>
>
>> fit0 <- lmer(THmean~INTRVNTN+factor(TimePtID)+INTRVNTN*factor(TimePtID)+(1|PatientID),data=smalldata)
>> sdgd <- groupedData(THmean~INTRVNTN+TimePtID+INTRVNTN*TimePtID|PatientID,data=smalldata)
> Warning messages:
> 1: In Ops.factor(INTRVNTN, TimePtID) : ?+? not meaningful for factors
> 2: In Ops.factor(INTRVNTN, TimePtID) : ?*? not meaningful for factors
>
>
> Thank y...
2004 Oct 06
4
Performing Analysis on Subset of External data
Hi,
I want to perform some analysis on subsets of huge data files. There are
20 of the files and I want to select the same subsets of each one (each
subset is a chunk of 1500 or so consecutive rows from several million). To
save time and processing power is there a method to tell R to *only* read
in these rows, rather than reading in the entire dataset then selecting
subsets and deleting the
2005 Mar 21
1
rpart memory problem
...ot;a","a","a","a")
group4 = c("c","a","c","c","c")
group5 = c("e","a","e","e","e")
group6 = c("a","a","a","a","e")
smalldata = data.frame(cbind(distance,group3,group4,group5,group6))
The program runs normally in a few seconds.
Why does it work using the large dataset whith only numeric values but not with
categorical predictor variables ?
I have the impression that it considers my response variable also as a
categori...
2010 Jan 07
1
A question about the ff package
Hi,
I am using version 2.1-1 of the ff package.
I have a data set with 80 million rows and I need to create a new ffdf
object, subseting by values in one of the original ffdf's columns. Here is
my code:
bigData <- read.table.ffdf(file="/data/demodata/data/smallData.txt",
next.rows=1e5, head=TRUE, sep="|")
dim(bigData)
N <- nrow(bigData);N
select <- ff( vmode='logical', length=N, update=FALSE)
for (i in chunk(bigData, from=1, to=N, by=1e5))
select[i] <- ifelse(bigData[i,]$C.2 > 0.5, TRUE, FALSE)
bd <- bigData[select,]...