search for: standings

R Users, I am new to R and have tried to figure out how to automate this process instead of using excel. I have read in this dataframe into r with read.table. I need to reshape the data from the first table into the format of the second table. TractID StandID Species CruiseDate DBHClass TreesPerAcre Carbon Stand 1 Loblolly Pine 5/20/2010 10 1.2 Carbon Stand 1 Loblolly Pine

Hello, I recently did a 'make world' to update my base system due to the realpath bug. After that finished, I noticed that I still had the following statically compiled binaries laying around that did not get updated during a 'make world'. I track 4-STABLE. /usr/bin/miniperl /sbin/mount_kernfs /sbin/mount_devfs /sbin/modunload /sbin/modload /sbin/ft /stand/boot_crunch /stand/find

Hi R Users, When I use package lme4 for mixed model analysis, I can't distinguish the significant and insignificant variables from all random independent variables. Here is my data and result: Data: Rice<-data.frame(Yield=c(8,7,4,9,7,6,9,8,8,8,7,5,9,9,5,7,7,8,8,8,4,8,6,4,8,8,9), Variety=rep(rep(c("A1","A2","A3"),each=3),3),

Hey I'm not really sure what I should put on here, but I am having trouble with my R code. I am trying to get the p-values, R^2s etc for a number of different groups of variables that are all in one dataset. This is the code: #Stand counter st<-1 #Collections stands<-numeric(67) slopes<-numeric(67) intercepts<-numeric(67) mses<-numeric(67) rsquares<-numeric(67)

Hello I have a data set that looks like this; > b2 dato chr status PRRSvac PRRSsanVac PRRSsanDk PRRSdk 33 2007-12-03 090432 R?d SPF 34 2007-02-09 090432 R?d SPF+sanDK 35 2002-12-17 090432 R?d SPF+DK 36 2002-11-27 090432 R?d SPF+sanDK 37 2002-07-23

We have multiple stand-alone samba (4.2.10 and 4.10.4) file sharing servers with hundreds of local users on each server (not the same on all samba servers) in a CentOS/Oracle Linux (6 and 7) network. We would like to convert these stand-alone servers to join an existing Windows based AD domain without losing data or ownership/permission metadata on these servers. Is there a guide for doing

I need informations about the clara routine. The on-line doc say that the argument stand is a logical, indicating if the measurements in x are standardized before calculating the dissimilarities. Measurements are standardized for each variable (column), by subtracting the variable's mean value and dividing by the variable's mean absolute deviation. If we note STAND = TRUE, I suppose that

I'm working with the Centos 7 packages for Samba 4.2.10 and I note that the stock packages don't include the ldb tools (eg, ldbmodify, ldbsearch, etc). I did find a stand along centos package that contains these tools from here: https://wiki.samba.org/index.php/LDB However, the stand along tools don't seem to be aware of the Active Directory schema. For example, if I try to use

Hi guys, Fosdem 2019 is slowly approaching and so they opened the registration form for participants and also stands requests. So it's now done for CentOS and let's see how that goes -------- Forwarded Message -------- Subject: Acknowledging your stand request (CentOS) Date: Tue, 14 Aug 2018 09:33:10 +0200 (CEST) From: stands at fosdem.org To: arrfab at centos.org CC: stands at

Here is the information about the stand as well. Kind regards, -- dag wieers, dag at wieers.com, http://dag.wieers.com/ -- [all I want is a warm bed and a kind word and unlimited power] ---------- Forwarded message ---------- From: Pascal Bleser <loki at fosdem.org> To: Dag Wieers <dag at wieers.com> Cc: devrooms at fosdem.org Organization: FOSDEM Date: Thu, 16 Nov 2006

Here is the information about the stand as well. Kind regards, -- dag wieers, dag at wieers.com, http://dag.wieers.com/ -- [all I want is a warm bed and a kind word and unlimited power] ---------- Forwarded message ---------- From: Pascal Bleser <loki at fosdem.org> To: Dag Wieers <dag at wieers.com> Cc: devrooms at fosdem.org Organization: FOSDEM Date: Thu, 16 Nov 2006

Sorry for the confusion, here is the edited question. The data= Stand_Height (attached) is recorded from 12/1/2009 to 12/31/2015 (25 observations) and the other dataset (leafbiom) is recorded from 10/7/2009 to 12/29/2016 (daily observations). I want to use the 25 observations of stand height to predict the daily stand height from 10/7/2009 to 12/29/2016. The daily stand height will be multiplied

Author: eota Repository: /hg/zfs-crypto/gate Revision: 50021b84343742e322d24ce75d5cf4b26369fd38 Log message: 6310483 boot needs some more help for gcc on SPARC Files: create: usr/src/psm/stand/boot/sparc/common/util.h update: usr/src/psm/promif/ieee1275/common/prom_node.c update: usr/src/psm/promif/ieee1275/common/prom_test.c update: usr/src/psm/stand/boot/common/readfile.c update:

I know Matlab's M file can be converted to a stand-alone executable file. I wonder if there is a project aimed at compiling R scripts into stand-alone executable file. I think it will be very promising for R to be more widely used in different fields. -- View this message in context:

Hello, My data are numbers of trees in plots sampled in a number of forest stands. Some stands were subjected to a treatment, others not. Several plots were sampled per stand to get a better idea of what the stand means were, but replication is really at the stand level. Therefore I think this is a split-plot design. I would like to know whether the treatment affected the number of trees, so:

Hello everybody, a question that connect to the question of Frederik Karlsons about 'how to stand. betas' With the stand. betas i can compare the influence of the different explaning variables. What do i with the betas of factors? I can't use the solution of JohnFox, because there is no sd of an factor. How can i compare the influence of the factor with the influence of the numeric

Hello, I have some conflicting output from an aov summary and tukey contrasts with a mixed effects model I was hoping someone could clarify. I am comparing the abundance of a species across three willow stand types. Since I have 2 or 3 sites within a habitat I have included site as a random effect in the lme model. My confusion is that the F test given by aov(model) indicates there is no

Dear R-community, maybe someone can help me with this: I've been using the loess() smoother for quite a while now, and for the matter of documentation I'd like to resolve the acronym LOESS. Unfortunately there's no explanation in the help file, and I didn't get anything convincing from google either. I know that the predecessor LOWESS stands for "Locally Weighted

I'm trying to upload print drivers to a stand-alone samba server running version 3.0.25. The server is part of a workgroup (not domain). My log files show messages that it cannot update the driver. Before I had the printer admin option set in my smb.conf file to allow a non-root user to do the printer admin and everything worked fine. I have read the Samba How To Notes section on important

Hi folks, I have 25 stand height observations over 7 years period and daily leafbiomass data during this period. I want to use the 25 plant height observations as inputs and predict the daily stand height during the 7 years. SH=matrix(data=NA , nrow = 2641, ncol = 1) for (i in 1:2641) { SH<- predict(lm(height~Date, data=Stand_Height)); dl=leafbiom$Date[i-1]; de=leafbiom$Date[i];