The title says it all. An additive model can be fit by `solve(X %*% t(X)
+ PENALTY)%*%t(X)%*%y` (though of course there are more efficient ways
to do it). I want the matrix `solve(X %*% t(X) + PENALTY)` from a fitted
gam object. GAM objects can be a bit tricky to navigate -- is there a
convenie
Hi,
I think that you need scan() but you should at least give us an example of your
text data.
Olivier.
--
Olivier Crouzet
LLING - Laboratoire de Linguistique de Nantes - EA3827
Université de Nantes
-Original Message-
From: Steven Yen
Sender: "R-help" Date: Thu, 18 Jun 2015 01:10:39
I am not sure what you mean by "a block", but you can probably use
scan() instead of read.table():
> txt <- "1 21 41 61 81"
> d <- data.frame(Numbers=scan(text=txt, what="numeric", quiet=TRUE))
> d
Numbers
1 1
2 21
3 41
4 61
5 81
Bill Dunlap
TIBCO Sof
How do I read a block of space-delimited numbers into a column vector
using the read.table command? Thank you.
--
Steven Yen
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PLEASE do re
Hi everybody,
I am working with the plm package. I am struggling with the generation of the
data frame in the plm() function. An example of my data are found in the
attachment and I want to run a pooled regression on those. Hence, I need to
generate a data frame using pdata.frame() function and
I *think* you want:
ZC <- do.call(rbind,lapply(a,get))
But why do you make "a" a *list* of names rather than a vector of names?
Generally one uses lists to hold "complicated" structures.
A sequence of character scalars is best stored in an atomic vector.
cheers,
Rolf Turner
P. S. Thank
Try this:
dat=structure(list(Color = c("5", "<4","5", "<5", "5"), Unit =
c("Hazen","Hazen","Hazen", "Hazen", "Hazen")), .Names = c("Color", "Unit"),
row.names =c("1:2","1:3", "1:4", "1:5","1:6"), class = "data.frame")
dat=as.data.frame(dat)dat$col2 <- rep(" ", nrow(dat))dat[dat$Color == "<4", ][
Hi, I'm trying to convert the following SAS code in R to get the same result
that I get from SAS. Here is the SAS code:
DATA plants;
INPUT sample $ treatmt $ y ;
cards;
1 trt16.426264755
1 trt16.95419631
1 trt16.64385619
1 trt27.34872815
Hello,
�
I am a R-beginner and I need some help.�The question is very simple: I need to
do a pearson correlations (r,p-value and FDR with BH) from an Expression array
(with several thousand genes for lets say 20 cell lines)�with some features of
those cell lines.
My problem I have is
Hello to everybody,
I want to implement a non-linear least square curve fitting and I am using
the package "nlmrt", concretely the function nlxb. I have a dataset with
three variables and 176 values, one response variables (R) and two
predicting variables (T and H). When I fit a model of the form
Dear colleagues,
I am struggling mightily with the mlogit package. First, the reason that I am
using mlogit as opposed to multinom() in nnet is because my data is ranked, not
just ordinal. So, I’m really trying to fit an exploded logit or rank-ordered
model. All of the covariates of interest
Is the following what you want:
(z is your data frame)
> change <-c("2","2.5")
> names(change) <- c("<4","<5")
(note: this can be automated using regular expressions and will work for
lots more values to change. Sarah's ifelse() solution is fine for the
example, but becomes too cumbersome (as sh
Hi Shane,
On Wed, Jun 17, 2015 at 1:31 PM, Shane Carey wrote:
> Hey all,
>
> I have a dataframe that consists of:
>
> structure(list(Color = c("5", "<4","5", "<5", "5"), Unit = c("Hazen",
> "Hazen",
> "Hazen", "Hazen", "Hazen")), .Names = c("Color", "Unit"), row.names =
> c("1:2",
> "1:3", "1:4",
Hey all,
I have a dataframe that consists of:
structure(list(Color = c("5", "<4","5", "<5", "5"), Unit = c("Hazen",
"Hazen",
"Hazen", "Hazen", "Hazen")), .Names = c("Color", "Unit"), row.names =
c("1:2",
"1:3", "1:4", "1:5","1:6"), class = "data.frame")
I need to find the <4 and have a new colum
I am wondering if any has a script to download hourly Merra data (I am
interested in wind speed and temperature)
Thank you for your help
AT
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Dear all,
I have data for an bipartite mutualistic interaction network and I am trying to
generate network metrics for this data set.
All metrics could be calculated correctly. However, when trying to run
specieslevel function of the package "bipartite", I have the following problem:
xx <- specie
1. It should be:
a<-as.list(ls(pattern= "^Z."))
to get "Z" at the beginning and 1 further character.
2. Use do.call() instead of call(). The latter does not evaluate the call;
the former does.
3. But most important, the "args" argument of do.call() must be a list of
names, not character strin
Hello R users,
I am trying to run the command rbind gathering the name of tables to bind
from a list argument.
Unfortunately I am not able to obtain it.
I would appreciate any suggestions. Below is a reproducible example with
the problem.
Thanks
Matteo
I think it could be something like this. But the mean is for the entire set.
Not groups.
I get a graph with this code but error bars are not there.
p<-ggplot(jc,aes(IDX,V1,colour=V1))
p <- p + stat_summary(fun.y=mean,geom="point")
p <- p + stat_summary(fun.y=mean,geom="line")
p <- p + stat_summa
Your sample code is working. But I am missing the logic when my dataset is
involved.
My full dataset is this. It is the V1 column I am interested in. I am not
'grouping' here.
V1 IDX
1 0.796 1
2 0.542 2
3 0.510 3
4 0.617 4
5 0.482 5
6 0.387 6
7 0.272 7
8 0.536 8
9
Hi
It does not make sense. How you can get same result counting mean and sum? The
only way I can imagine is that you have only one value per date. So aggregate
does virtually nothing.
round gives you n decimal places based on its second parameter.
> set.seed(111)
> x<-rnorm(1)
> x<-x*1000
> ro
Dear Shivi
On 17/06/2015 13:15, Shivi82 wrote:
Hi Petr,
The solution you shared worked though it does not show any decimal values.
The output is
Group.1 x
11/1/2015309450
2 1/10/2015 332780
Instead of mean i used sum & i think that should be fine.
aggr<-aggregate(retail
Hi Petr,
The solution you shared worked though it does not show any decimal values.
The output is
Group.1 x
11/1/2015309450
2 1/10/2015 332780
Instead of mean i used sum & i think that should be fine.
aggr<-aggregate(retail$weight,list(retail$ship.date),function(x)
round
Dear Jim,
Thank you for your response. Yes, it is the European Data Format you
mention. Actually we can read the data correctly, but I was wondering if
there is any package that can identify different sleep phases automatically
based on the data. I supposed such a package does not exist, it is rea
Hi Charles,
This looks like the European Data Format (EDF and EDF+), which has a
complete file specification. If there is no existing R package, it
might be possible to write an import function from the specification,
something like the functions in the "foreign" package.
Jim
On Wed, Jun 17, 201
Hi
> -Original Message-
> From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of Shivi82
> Sent: Wednesday, June 17, 2015 9:19 AM
> To: r-help@r-project.org
> Subject: [R] Aggregating on date at Monthly Level
>
> HI All,
> I have situation where i am aggregating weight on monthly
Hi
> -Original Message-
> From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of Venky
> Sent: Wednesday, June 17, 2015 8:43 AM
> To: R Help R
> Subject: [R] cluster analysis
>
> Hi friends,
>
> I have data like this
>
In R or elsewhere?
>
>
> Group
> Employee size WOE Employe
Hi
> -Original Message-
> From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of Shivi82
> Sent: Wednesday, June 17, 2015 7:50 AM
> To: r-help@r-project.org
> Subject: [R] Restricting Decimal Places in the Output
>
> Good Morning All,
>
> I have working on a data set where I am fi
HI All,
I have situation where i am aggregating weight on monthly and quarterly
level.
I need to summarize weight on variable ship date i.e. shipping date . As
this date is in a character format so used the conversion as:
Shipdate<-as.Date("retail$ship.date", format="%m-%d-%Y"). But when i see th
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