similar to: [R Jobs] Seeking statistician

The Food and Agriculture Organization of the United Nations based in Rome is seeking a young talented statistician to join the Statistics division to eliminate hunger by means of better decision making through providing quality data and analysis. We value people with technical skills, in particularly individuals who are able to translate numbers to actions and to make an impact to the world. In

Job Description: The Food and Agriculture Organization of the United Nations based in Rome is seeking a talented statistician to join the Statistics division. We value people with technical skills, and in particular individuals who are able to translate numbers to actions and to make an impact on the world. In this role, you will be: -?? Developing R methods in collaboration with FAO

Hi Amy, one key question: can this position work remotely? Thank you, Mark LoPresti From: "Heyman, Amy (ESS)" <Amy.Heyman at fao.org> To: "r-sig-jobs at r-project.org" <r-sig-jobs at r-project.org> Sent: Tuesday, January 6, 2015 10:49 AM Subject: [R-jobs] FAO Statistical Yearbook consultant FAO Statistical Yearbook consultant The Food and

FAO Statistical Yearbook consultant The Food and Agriculture Organization (www.fao.org) is a United Nations agency that leads international efforts to reduce hunger in the world. This is achieved through three main goals: the eradication of hunger, food insecurity and malnutrition; the elimination of poverty and the driving forward of economic and social progress for all; and, the sustainable

Dear Amy, Same question here: do you accept remote applicants? Best Regards, Samuel On Mon, Jan 12, 2015 at 8:43 AM, M?rti?? Liberts <martins.liberts at gmail.com> wrote: > Dear Amy, > > I have the same question as Mark. Is it possible to work from abroad - > remotely? > > > Best regards, > Martins > > > On 6 January 2015 at 19:32, Mark LoPresti

Dear Amy, I have the same question as Mark. Is it possible to work from abroad - remotely? Best regards, Martins On 6 January 2015 at 19:32, Mark LoPresti <marklopresti at yahoo.com> wrote: > Hi Amy, > > one key question: can this position work remotely? > Thank you, > Mark LoPresti > From: "Heyman, Amy (ESS)" <Amy.Heyman at fao.org> > To:

The Food and Agricultural Organization of the United Nations is looking for an R expert to assist the translation of current methodology from other statistical software into R. The position will involve sitting down with statisticians from various team to understand the current methodology and support the staff to develop the methodology in R. This is a full-time position based in Rome

Dear Jarrod, I have a data set where residual have a heavy-tailed distribution with some extreme residual values and consequently the distribution deviates from the Gaussian one. Is it possible to include an skewed-normal density for the residual in MCMCglmm package? I have done the analysis of this data with both ASReml & MCMCglmm. The results are similar and outcome from MCMCglmm

Job Description. We are seeking 2 statisticians and R developers to join the Methodological innovation team of FAO Statistics Division in Rome, Italy. Statistics is a core function of FAO and represents a highly visible area of the Organization's work. FAO is recognized as having a fundamental global role in developing methods and standards for food and agriculture statistics and as hosting

Dear All, I am learning the ropes about logistic regression in R. I found some interesting examples http://bit.ly/Vq4GgX http://bit.ly/W9fUTg http://bit.ly/UfK73e but I am a bit lost. I have several questions. 1) For instance, what is the difference between glm.out = glm(response ~ poverty + gender, family=binomial(logit), data=mydata) and glm.out = glm(response ~ poverty * gender,

I'm resending this message because I did not include a subject line in my first posting. Apologies for the inconvenience! Tanja > Hello, > > I'm trying to fit a generalized linear mixed model to estimate diabetes prevalence at US county level. To do this I'm using the glmer() function in package lme4. I can fit relatively simple models (i.e. few covariates) but when

I have a data frame somewhat like this: myframe <- data.frame (ID=c(2,3,4,5), Hunger =c(415,452,550,318 )) myframe Now I would like to add a column to the right which summarizes the values for Hunger somewhat to reduce the number of values: If the values for Hunger are between 300-400 I would like to insert the number 350, between 400-500 insert 450 between 500-600 insert 550 Does

Hello, I tried for about three hours now to solve this problem but I can't figure it out. I am sure someone knows how do it. At least I hope so. I have a data frame somewhat like this: myframe <- data.frame (ID=c("Ernie", "Ernie", "Bert", "Bert"), Timestamp=c("24.09.2012 09:00", "24.09.2012 09:00", "24.09.2012 10:00",

Hi dear three helpers, Thanks a lot! Your solutions worked great. Again I learned a lot. Tagmarie Am 25.10.2012 18:36, schrieb Felipe Carrillo: > Another option using plyr, > library(plyr) > myframe <- data.frame (ID=c("Ernie", "Ernie", "Ernie", "Bert", "Bert", > "Bert"), Timestamp=c("24.09.2012 09:00",

I have a quick question about the browseURL function. When I use the function in a UNIX environment, I have to use two sets of quotations if I have the & symbol in the URL. For Windows I only need to use the first set. For example, on Windows: browseURL("http://search.yahoo.com/search?p=Bioconductor&ei=UTF-8&fr=fp-tab-web-t&n=20&fl=0&x=wrt") will call up the

Hello, I'm trying to fit a generalized linear mixed model to estimate diabetes prevalence at US county level. To do this I'm using the glmer() function in package lme4. I can fit relatively simple models (i.e. few covariates) but when expanding the number of covariates I usually encounter the following error message. gm8 <-

Hello, I have a data frame somewhat like that: myframe <- data.frame (ID=c("Ernie", "Ernie", "Ernie", "Bert", "Bert", "Bert"), Timestamp=c("24.09.2012 09:00", "24.09.2012 10:00", "24.09.2012 11:00"), Hunger=c(1,1,1,2,2,1) ) myframestime <- as.POSIXct (strptime(as.character(myframe$Timestamp),

Dear useRs, my last announcement is an update of the ineq package for measuring inequality, concentration and poverty. The current version is now 0.2-4. Thanks to suggestions from Rein Halbersma the Pen() function for plotting Pen's parade was improved and now allows for much more flexibility. See the help page for examples. Best wishes, Z ------------- Package: ineq Version: 0.2-4 Date:

Hello, I've started using R few months ago and I really like it. I need to estimate standard deviation of certain statistics (some measures of poverty). I found a really simple program, and I just need to check whether it's OK and really calculates what it's supposed to. Let's suppose e. g. head-count index (as one of the simplest measures of poverty) which is calculated as a

Dear useRs, my last announcement is an update of the ineq package for measuring inequality, concentration and poverty. The current version is now 0.2-4. Thanks to suggestions from Rein Halbersma the Pen() function for plotting Pen's parade was improved and now allows for much more flexibility. See the help page for examples. Best wishes, Z ------------- Package: ineq Version: 0.2-4 Date: