Hi Jim,
Thanks. Yes, the two assumptions are correct, and they reflect the
datasets. I have an uncertainty about the code below. Why do you use
abs(blackcells[[i]]$lat - redcell$lat) <1 rather than a different number
than 1? Second, why to construct blackcells as a list, rather than a
dataframe. B
Or capture.output
Sent from my iPhone
> On May 18, 2018, at 12:54 PM, Jeff Newmiller wrote:
>
> ?sink
>
>> On May 18, 2018 9:47:25 AM PDT, Ed Siefker wrote:
>> I have dose response data analyzed with the package 'drc'.
>> 'summary(mymodel)' prints my kinetic parameters. I want
>> that text i
On Fri, 18 May 2018, Ed Siefker wrote:
I have dose response data I have analyzed with the 'drc' package.
Using plot() works great. I want to arrange my plots and source
data on a single page. I think 'gridExtra' is the usual package for
this.
I could use plot() and par(mfrow=...), but then I
?sink
On May 18, 2018 9:47:25 AM PDT, Ed Siefker wrote:
>I have dose response data analyzed with the package 'drc'.
>'summary(mymodel)' prints my kinetic parameters. I want
>that text in an ASCII text file. I want to get exactly what I
>would get if I copied and pasted from the terminal window.
I have dose response data analyzed with the package 'drc'.
'summary(mymodel)' prints my kinetic parameters. I want
that text in an ASCII text file. I want to get exactly what I
would get if I copied and pasted from the terminal window.
I've read the documentation on data export to text files her
I have dose response data I have analyzed with the 'drc' package.
Using plot() works great. I want to arrange my plots and source
data on a single page. I think 'gridExtra' is the usual package for
this.
I could use plot() and par(mfrow=...), but then I can't put the source
data table on the pag
Hi Ilio,
As far as I can see, this is what you have done:
A<-data.frame(V1="Year",V2=1992,V3=1993)
B<-data.frame(V1=c("Year","18-19"),V2=c("Average (cm)",178.3),
V3=c("N",6309),V4=c("SD",6.39))
A
V1 V2 V3
1 Year 1992 1993
B
V1 V2 V3 V4
1 Year Average (cm)N SD
2 1
There must be a simpler and easier way but it's early here and I am only on my
first cup of tea.
Just but each element into a data frame.
Quick and dirty example:
dat1 <- list(aa = 1:20, bb <- data.frame(xx =
1:5, yy = LETTERS[1:5]))
dat2 = data.frame(dat1[[1]])
=
hi all, in the past two days, i've found two places in unrelated code where
i needed to substitute something like
`x == y`
with
`isTRUE(all.equal(x,y))`
to fix problems that started occurring in 3.5.0 on windows. the release
news[1] makes one mention of floating points, but i'm not sur
I have the following list:
> tables
$`NULL`
V1 V2 V3
1 Year 1992 1993
$`NULL`
V1 V2 V3V4
1 Age Average (cm) N S
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