Hi Ragia,
Perhaps the easiest way is to split the data frame into a list by the
values of v1:
sdf<-split(df,df$v1)
Then rename the elements of sdf for convenience:
names(sdf)<-paste("v1",1:5,sep="_")
Now you can extract whatever you like"
sdf$v1_1$v2
[1] 3 4 8
Of course if you only want the
Dear group,
I have the following data frame
v1 v2 v3 v4 v5
1 1 3 1 3.5 1
2 1 4 3 3.5 1
3 1 8 3 3.5 1
4 2 9 8 2.5 1
5 2 10 9 2.5 1
6 2 6 3 1.5 1
7 3 4 3 2.0 1
8 3
> On 06 Dec 2015, at 04:53 , David Winsemius wrote:
>
>>
>> On Dec 5, 2015, at 4:49 PM, Glenn Schultz wrote:
>>
>> All,
>>
>> I have not used SED in the past so I am continuing to read its documentation
>> but I need some help with R
>>
>>
thanks by the help
but I do not understand how to set a tag in cell table.
cleber
Em 05/12/2015 18:57, peter dalgaard escreveu:
On 05 Dec 2015, at 20:15 , Cleber N.Borges wrote:
in 2003 [1] someone asked for:
"Is it possible to" block "the cell?"
but the solution
I cannot see either your data or your picture. Does the following dataset
along with your ggplot command give a similar picture?
TS <- data.frame(Well=paste0("Well",rep(1:21,each=3)),
LOCATION=paste0("Loc",rep(LETTERS[1:7],each=9)),
Date=as.POSIXct(paste(sep="-", 2015, 10, rep(c(11,18,25),21))),
Hi Everyone,
I am conducting a meta-analysis using the metafor package. I am interested
in obtaining an estimate by subgroup only without showing an overall
effect. This is directly from the metafor website. How would i modify this
code to only show subgroup effects? Further, I want to show
Hello,
Thank you for the reply.
I ran the code with your added code. The code itself works however I am
unable to see how the graphs actually plot because the plot area is so
small and it produces lots of separate graphs.
What I mean by dense is that some lines plot well, then there is a group
Hello, first time poster so forgive any mistakes.
I have limited familiarity with R, but am working on a project to find the
relative risk of mortality due to changes in diurnal temperature range.
What I am trying to do is find the relative risk of mortality at the 10th,
50th and 90th percentiles
Well, if it was _my_ problem (and it isn't...), I'd get hold of the
documentation for TkTable and figure out how you are supposed to do it with
Tcl/Tk, then figure out how to do the same thing(s) from R. You should have the
building blocks by now.
-pd
> On 06 Dec 2015, at 11:57 , Cleber
Hi
I wish to draw a basic choropleth (US, by state) and am wondering if
anyone has any recommendations? I've tried the following thus far:
1. choroplethr: this works, but required installation of 30+
dependencies. I would prefer something with fewer dependencies.
2. tmap: this also seems
Hello R users!
Any idea why this looks so dense? Should be line graphs. Looks fine in
excel. The csv file is four columns, first date, second well number, 3
well location (ditch or interior), and then the last column is hydraulic
head. Thank you! I have attached a photo and the R code I am
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