search for: agriculture

Dear All, The Decision and Policy Analysis (DAPA) program of the International Center for Tropical Agriculture (CIAT), a not-for-profit agriculture, biodiversity and ecosystems research center, supported by the Consultative Group of International Agricultural Research (CGIAR), with headquarters in Cali, Colombia is looking for a visiting researcher to work on various modeling projects, primarily related wit...

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: -...

...rs 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 the world's largest statistical database for food and agriculture statistics, FAOSTAT. In addition to maintaining the collection, processing and dissemination of existing data series, there are increasing demands for new statistics. The Methodological innovation team...

hello, > subset(swiss, Agriculture > 60 & Examination != c(14,16), select = c(Agriculture,Examination,Catholic)) Agriculture Examination Catholic Broye 70.2 16 3.30 Glane 67.8 14 4.20 Aigle 62.0 21 5.16 Avenches 60.7...

Hi, I'm wondering why indexing a data frame by row name doesn't work with [[. It works with [: > sw <- swiss[1:5,1:2] > sw["Moutier", "Agriculture"] [1] 36.5 but not with [[: > sw[["Moutier", "Agriculture"]] Error in .subset2(.subset2(x, ..2), ..1) : subscript out of bounds The problem is really with the row name (and not the col name) since this works: > sw[[4, "Agriculture"]] [1] 36.5...

...not sure if the function I want already exists. Any suggestion would be appreciated. I have a working example, as required by the posting guide: my_swiss = swiss[-1,] my_swiss$facto = rep(1:2,nrow(my_swiss)/2) t.test(Fertility~facto,data=my_swiss) by(my_swiss$Fertility,my_swiss$facto, sd) t.test(Agriculture~facto,data=my_swiss) by(my_swiss$Agriculture,my_swiss$facto, sd) ttable <- function(formula, data) { ???? } ttable(Fertility + Agriculture ~ facto, data=my_swiss) facto ? ? ? ? ? ? ?1 ? ? ? ? ? ? ? ? ? ? ? ? ?2 ? ? ? ? ? ? ?Mean ?s.d. ? ? ? ? ? ? ? ? ?Mean s.d. ?t-test p-value Fertility ? ?...

Dear all, I would like to know how can I create a binned column in a data.frame. The output that I would like is something like this: Start Binned_Start 1 0-5 2 0-5 6 5-10 8 5-10 13 10-15 ... Best regards João Fadista Ph.d. student UNIVERSITY OF AARHUS Faculty of Agricultural Sciences Dept. of Genetics and Biotechnology Blichers

...have a job opening for a Senior Geostatistician in Clermont-Ferrand, France Limagrain is an international agricultural co-operative group specialized in field seeds, vegetable seeds and cereal products. More than 8 600 employees in the world spread out in 41 countries. Limagrain strives to improve agriculture in order to face today?s food-related challenges. Job Description: Digital Agriculture is an exciting and challenging suite of activities related to farming that includes Precision Agriculture, Prescription Agriculture, and depends on the collection, use, analysis, and interpretation of data fro...

Dear all, I would like to know how can I concatenate 2 data.frames into a single one. Both data frames have the same number of columns and the same class type in each correspondent column. So what I want is to have a new data.frame where I have first the values from one data.frame and then the values from a second data.frame would came after in this new data.frame. Thanks in advance. Med

Dear all, I would like to know how can I retrieve a data.frame without the columns that have a partial match name. Let´s say that I have a data.frame with 200 columns and 100 of them have the name "StartX", with X being the unique part for each column name. I want to delete all columns that have the name starting with "Start". I´ve tried to do this but it doesn´t work: >

Dear all, Can I do a permutation test if the number of individuals in one group is much bigger than in the other group? I searched the literature but I didin´t find any assumption that refers to this subject for permutation tests. Best regards João Fadista Ph.d. student UNIVERSITY OF AARHUS Faculty of Agricultural Sciences Dept. of Genetics and Biotechnology Blichers Allé 20, P.O.

I am compiling a library with legacy code which has functions named with periods in the names - but are not S3 class functions. For example for example, summary.agriculture is not an extension of the summary function for and 'agriculture. class object - it is just poorly named. Is it possible to keep from triggering the following warning when I check the package? * checking S3 generic/method consistency ... WARNING summary: function(object, ...) summary.a...

...False. Scenario 2 CheckBox2 = True, The user sets CheckBox1 from False to True, now CheckBox2 should automatically become False. Is there somebody, who knows how to build a function for that? The select_boxes in my view look like this: <%= check_box ''account'', ''agriculture'' %> <%= check_box ''account'', ''vat_duty'' %> -> agriculture and var_duty are both existing fields in my model. Thnx Michel Dogger -- Posted via http://www.ruby-forum.com/.

Dear All, I'm a beginner user in R and I would like to make a quadratic and plateau model in R. Can you help please with an example? Thanks so much -- Ahmed M. Attia Assistant Lecturer El-Khattara farm Station Agronomy Dept., Zgazig Univ., Egypt Visiting Scientist Haskell Agricultural laboratory Agronomy and Horticultural Dept., Univ. of Nebraska-Lincoln ahmedatia at zu.edu.eg

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 pro...

Dear all, I'm using R to perform multiple comparison testing on agriculture genotype trials. To perform the Duncan's MRT, I use the qtukey() function with the following syntax: qtukey(p = ((1 - 0.05) ^ (pos - 1)), nmeans = pos, df = ni) I experience a strange behaviour when the number of means in the trial and the number of residual degrees of freedom (ni) become...

..." can only come from no convergent "best fit" being found in the `factanal.fit.mle` procedure. Some detective work shows that the failure is in the call to `optim`. Specifically, when the call __passes__, it returns: > nfit Call: NULL Uniquenesses: Fertility Agriculture Examination Education 0.420 0.492 0.270 0.005 Catholic Infant.Mortality 0.061 0.960 Loadings: Factor1 Factor2 Fertility -0.674 0.356 Agriculture -0.648 0.297 Examination 0.713 -0.471 E...

...]+ pesti[,3] ,alternating=TRUE,tick.number=1, stack=TRUE,type = "count", xlab="VNT",rot=c(180,180),draw=FALSE) Thank you in advance. Andy Andrew McFadden MVS BVSc Incursion Investigator Investigation & Diagnostic Centres - Wallaceville Biosecurity New Zealand Ministry of Agriculture and Forestry Phone 04 894 5600 Fax 04 894 4973 Mobile 029 894 5611 Postal address: Investigation and Diagnostic Centre- Wallaceville Box 40742 Ward St Upper Hutt This email message and any attachment(s) is intended solely for the addressee(s) named above. The information it contains is conf...

...uot;one" for presence and "zero" for absence to end up with 153 records. #wolfsub<-subset(wolves,subset=!(WOLVES_99==2)) #wolfsub <- subset(wolves.map,WOLVES_99!=2) wolfsub <- wolves.map[!wolves.map$WOLVES_99 %in% 2,];wolfsub dim(wolfsub) # 42 = Forest, 51 = Shrub, > 81 = Agriculture wolfsub$Forest<-ifelse(wolfsub$MAJOR_LC==42,1,0) wolfsub$Shrub<-ifelse(wolfsub$MAJOR_LC==51,1,0) wolfsub$Agriculture<-ifelse(wolfsub$MAJOR_LC>81,1,0) names(wolfsub);dim(wolfsub) # create the model mod1<-glm(WOLVES_99~RD_DENSITY+Forest+Shrub +Agriculture,family=binomial,data=wolfsub)...

Dear R users, I am trying to convert a dataset from one format to several rectangular datasets. A consultant helped design the data entry program for our survey using Delphi/Pascal and for each household the information is stored in a file called "EA-HM-HH.TXT" where EA is the enumeration area number, HM is the homestead number and HH is the household number. Within this file the