yes, it works, even if I do not really get how and why it's working the
combination of logical results (could you provide some insights for that?)
moreover, and most of all, I was hoping for a compact solution because I need
to deal with MANY columns (more than 40) in data frame with the same ba
I have no clue what this package is for, but reading the help page for the
ccomp function tells you that it returns a numeric vector or matrix. How do YOU
want to display information from this numeric vector? That will determine how
you would put it into a data frame.
--
Sent from my phone. Ple
Hello DearI used modifiedmk package for trend analyses.this is my script
 require(modifiedmk)X1<-read.table("c:/elham/first
article/r/Spring_NDVI-1.txt",skip=2,header=FALSE)d=dim(X1)
outMK<-matrix(-999,nrow=4,ncol=d[2])for (c in
1:d[2]){MK<-tfpwmk(X1[,c])outMK[1,c]<-getElement(MK,"S")outMK[2,c]
On 22/11/2017 11:29 AM, Paul Johnson wrote:
We have a project that calls for the creation of a list of many
distribution objects. Distributions can be of various types, with
various parameters, but we ran into some problems. I started testing
on a simple list of rnorm-based objects.
I was a lit
Do you mean like this:
mydf <- within(mydf, {
is.na(A)<- !A_flag
is.na(B)<- !B_flag
}
)
> mydf
A A_flag B B_flag
1 8 10 5 12
2 NA 0 6 9
3 10 1 NA 0
4 NA 0 1 5
5 5 2 NA 0
Cheers,
Bert
Bert Gunter
"The trouble with h
We have a project that calls for the creation of a list of many
distribution objects. Distributions can be of various types, with
various parameters, but we ran into some problems. I started testing
on a simple list of rnorm-based objects.
I was a little surprised at the RAM storage requirements,
I think the '[<-' function for atomic types doesn't pay attention
to the class of the right hand side, only to its mode. It strips all
the attributes of the RHS, including the class.
> f <- function(x) { x[2] <- factor("z", levels=letters) ; x }
> f(101:103)
[1] 101 26 103
> f(c("One","Two","Thr
Hi--
I too misread the question twice and i may have mistakenly posted non-text
answer earlier. Below is a step by step solution that works provided that
your real data frame has the same structure (alternative columns as in your
example). You could combine all the steps in 2 statements.
Best of
OPS,
Sorry i did not read the post carfully. Mine will not work if you have
zeros on columns A and B.. But you could modify it to work for specific
columns i believe.
EK
On Wed, Nov 22, 2017 at 8:37 AM, Ek Esawi wrote:
> Hi *Massimo,*
>
> *Try this.*
>
> *a <- mydf==0mydf[a] <- NAHTHEK*
>
> On
Hi *Massimo,*
*Try this.*
*a <- mydf==0mydf[a] <- NAHTHEK*
On Wed, Nov 22, 2017 at 5:34 AM, Massimo Bressan <
massimo.bres...@arpa.veneto.it> wrote:
>
>
> Given this data frame (a simplified, essential reproducible example)
>
>
>
>
> A<-c(8,7,10,1,5)
>
> A_flag<-c(10,0,1,0,2)
>
> B<-c(5,6,2,1,0
Hello,
Sorry, I obviously read in a hurry.
icol <- grepl("flag", names(mydf))
is.na(mydf[!icol]) <- mydf[icol] == 0
mydf
# A A_flag B B_flag
#1 8 10 5 12
#2 NA 0 6 9
#3 10 1 NA 0
#4 NA 0 1 5
#5 5 2 NA 0
Hope this helps,
Rui Barradas
O
...well, I don't think this is exactly the expected result (see my post)
to be noted that the columns affected should be "A" and "B"
thanks for the help
max
- Messaggio originale -
Da: "Rui Barradas"
A: "Massimo Bressan" , "r-help"
Inviato: Mercoledì, 22 novembre 2017 11:49:08
Oggett
Dear Users,
I would like to use compositions package with ggplot/ggtern, other composition
classes of compositional package can be used with ggtern by converting to data
frame but I could do anything with c(ount)comp class. Ggplot/ggtern can not
recognise comp and also can not be converted to d
Hello,
Try the following.
icol <- which(grepl("flag", names(mydf)))
mydf[icol] <- lapply(mydf[icol], function(x){
is.na(x) <- x == 0
x
})
mydf
# A A_flag B B_flag
#1 8 10 5 12
#2 7 NA 6 9
#3 10 1 2 NA
#4 1 NA 1 5
#5 5 2 0 NA
Given this data frame (a simplified, essential reproducible example)
A<-c(8,7,10,1,5)
A_flag<-c(10,0,1,0,2)
B<-c(5,6,2,1,0)
B_flag<-c(12,9,0,5,0)
mydf<-data.frame(A, A_flag, B, B_flag)
# this is my initial df
mydf
I want to get to this final situation
i<-which(myd
Fwiw the engine behind geom_raster needs explicit observation-per-row form
for input (with no structural normalization), so conversion to points is
perfectly proper here, albeit confusing in context. (It's closer to what
graphics devices actually use ultimately, but the expansion is laid out
very
Well, ?factor does not say anything about this behaviour (assigning numeric
code instead of level of factor). And actually if you do assignment for whole
vector the result is different (vector in data frame is changed to factor).
> temp2$fff[1]<-vec[1]
> head(temp2,2)
pokus minuty fff
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