Dear R Community,
My data have 3 conditions and each condition has 6 replicates. I am trying to
fit my data for a linear mixed model using the lmer function from lme4 package
to find the random effects of the replicates; however, I got the error message.
Here are the example codes:
>example.3=da
Hi
Can anyone explain why a date becomes numeric when you loop over a series
of dates?
> dt <- Sys.Date()
> dt
[1] "2017-11-14"
> class(dt)
[1] "Date"
> dts <- dt - 1:0
> class(dts)
[1] "Date"
>
> for (i in dts) {
+ print(i)
+ print(class(i))
+ print(as.Date(i, "1970-01-01"))
+ pr
> On Nov 14, 2017, at 5:13 AM, Fix Ace via R-help wrote:
>
> Dear R Community,
> My data have 3 conditions and each condition has 6 replicates. I am trying to
> fit my data for a linear mixed model using the lmer function from lme4
> package to find the random effects of the replicates;
Bette
"Date" means "numeric with an attribute of class='Date' ", so what actually
happened was that the for loop dropped the class attribute. In most cases using
the seq_along() function lets you step through index values to extract values
from your original vectors. In general, any S3 object will beh
Hi,
Suppose that I want to do a series of plots with the y value for each plot as
PC1, PC2, PC3… How could I accomplish this using a for loop?
Suppose the code like this:
For (index in seq(1,16)){
plot(x=(a given set of value),y=paste(“PC”,as.character(index),sep=“”)
}
But this would not work be
Hi, David,
Thank you very much for getting back to me! Sorry about the messy code example.
I am re-posting here (including the error message):
> example.3=data.frame(levels=as.numeric(XXX[,c(4)]),replicate=rep(c("0","1","2","3","4","5"),3),conditions=c(rep("11",6),rep("12",6),rep("13",6)))>
> exa
Hi Ruiyang,
I think you want "get":
For (index in seq(1,16)){
plot(x=(a given set of value),y=get(paste(“PC”,as.character(index),sep=“”)))
}
On Wed, Nov 15, 2017 at 7:43 AM, 刘瑞阳 wrote:
> Hi,
> Suppose that I want to do a series of plots with the y value for each plot as
> PC1, PC2, PC3… How cou
R-Help
I created a "shortdate" for the purpose of aggregating each var (S72 .S119)
by daily sum , but not sure how to handle using a POSIXlt object.
> myData$shortdate <- strftime(myData$time, format="%Y/%m/%d")
> head(myData)
time s72 s79 s82 s83 s116 s119 shortdate
1 2016-10-
R-Help
Please disregard as I figure something out, unless there is a more elegant
way ...
myData.sum <- aggregate(x =
myData[c("s72","s79","s82","s83","s116","s119")],
FUN = sum,
by = list(Group.date = myData$shortdate))
> head(myData.sum)
Group.date s7
Still a complete mess!
Post in **plain text**. This should be an option in your email software.
Please seek local help if you cannot figure out how to do this.
-- Bert
Bert Gunter
"The trouble with having an open mind is that people keep coming along and
sticking things into it."
-- Opus (aka
> On Nov 14, 2017, at 12:49 PM, Fix Ace wrote:
>
> Hi, David,
>
> Thank you very much for getting back to me! Sorry about the messy code
> example. I am re-posting here (including the error message):
>
> > example.3=data.frame(levels=as.numeric(XXX[,c(4)]),replicate=rep(c("0","1","2","3","4",
Could someone please explain the following? I did check bug reports, but
did not recognize the issue there. I am reluctant to call it a bug, as it
is much more likely my misunderstanding. Ergo my request for clarification:
## As expected:
> lapply(1:3, rnorm, n = 3)
[[1]]
[1] 2.481575 1.998182 1.
Hi Bert,
On Tue, Nov 14, 2017 at 8:11 PM, Bert Gunter wrote:
> Could someone please explain the following? I did check bug reports, but
> did not recognize the issue there. I am reluctant to call it a bug, as it
> is much more likely my misunderstanding. Ergo my request for clarification:
>
> ##
Thanks, Ista. That explains it.
What I missed is the following "note" in ?lapply:
"This means that the recorded call is always of the form FUN(X[[i]], ...),
with i replaced by the current (integer or double) index. "
That being the case, X[[i]] gets passed to the first available argument,
which
Hi,
I am new to autologistic regression and R. I do have questions when starting a
project in which I believe autologistic regression is needed.
I have a point layer whose attribute table stores the values of the dependent
variable and all the independent variables. I hope to to fit an autologi
I have free text data in a single text document. I create a corpus, and
then a document term matrix out of it. I can create a word cloud too.
But when I do word association for the same, using "findAssocs(), it always
returns numeric(0).
EX : findAssocs(dtm, "king" ,0.1)
I re
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