That is perfect. Thanks!
--
Scott R. Colwell, PhD
On 2019-04-20, 1:23 PM, "Jeff Newmiller" wrote:
Not really sure I understand what you want. Here is some code to
consider:
library(ggplot2)
library(dplyr)
library(tidyr)
dta <- read.t
Not really sure I understand what you want. Here is some code to
consider:
library(ggplot2)
library(dplyr)
library(tidyr)
dta <- read.table( text =
"samp.N RSQMRB_uc MRB_sb MRB_bp
50 0.3 1.4237.6 37.6
50 0.4 8.6143.1 43.1
50 0.5
Ashes of my head and all those sorts of things...
If I was a totally a newbie in R, I could claim for some sort of excuse,
but it is definitely not the case, even.
Thanks !
Patrick
Le 20/04/2019 à 19:13, Eric Berger a écrit :
> You seem to have a typo.
> In the case that works your filename is "
You seem to have a typo.
In the case that works your filename is "Mailles_2011a.dbf"
but in the case that fails your filename is "Mailles_2011a.shp"
(different extensions)
HTH,
Eric
On Sat, Apr 20, 2019 at 8:00 PM Patrick Giraudoux <
patrick.giraud...@univ-fcomte.fr> wrote:
> Dear listers,
>
>
Dear listers,
I am using the package foreign function read.dbf and meet the following
issue:
i<-"Mailles_2011a.dbf"
dbf<-read.dbf(i)
works well BUT
if I have a vector such as
files <- c("Mailles_2011a.shp", "Mailles_2011p.shp",
"Mailles_2012a.shp", "Mailles_2012p.shp", "Mailles_2013a.shp",
I am trying to figure out how to create a hanging bar plot from dplyr.
I have used dplyr as follows:
table4 <- cr %>%
group_by(samp.N, RSQ) %>%
summarize(
MRB_uc = mean(CF.F1F2/0.40*100)-100,
MRB_sb = mean(SBC.F1F2.Alpha/0.40*100) - 100,
MRB_bp = mean(BPC.F1F2.Alpha/0.40*100) - 100
My guess would be that you are running with a non-CRAN distribution of R like
Anaconda or MRAN that has MKL enabled?
On April 19, 2019 10:25:57 AM PDT, Youyi Fong wrote:
>Hi, I am wondering why it is the case that in R 3.3.3, calling
>chngpt:chngptm uses only 1 core, but in later releases, e.g.
Hi, I am wondering why it is the case that in R 3.3.3, calling
chngpt:chngptm uses only 1 core, but in later releases, e.g. R 3.4.3, it
uses multiple cores on linux. The function chngpt:chngptm has a .Call to
invoke a C/C++ function that performs bootstrapping. No explicit parallel
computing instru
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