search for: continent

...ble into a new, derived (categorical) variable by applying conditions to the values in the data. For example, suppose I have a data frame with variables: date, country, x, y, and z. x,y,z are numeric and country is a 2-digit character string. I want to create a new derived variable named "continent" that would also exist in the data frame. The Continent variable would have values of "Asia", "Europe", "North America", etc... How would this best be done for a large dataset (>10MB) ? I have tried many variations on following without success (note in a...

Hi, I have a GAM quasipoisson that I'd like to run through MuMIn package - dredge - gettop.models - model.avg However, I'm having no luck with script from an example in MuMIn help file. In MuMIn help they advise "include only models with smooth OR linear term (but not both) for each variable". Their example is: # Example with gam models (based on

How to define bounds for a semi continous variable in lp_solve. Min 5x1 +9x2 +7.15x3 +0.1x4 subject to x1+x2+x3+x4=6.7 x1+x4 <= 6.5 And x3 can be 0 or greater than 3.6 hence x3 is a semi continous variable how to define bounds as well as semicontinous function because using set.semicont and set. bound simantaneously doesn't seem to work.Thanks in advance for the help -- View this

Hi.. There are my nested routes map.resources :continent do |continent| continent.resources :land do |land| land.resources :destination end end By example it generates this url http://example/continent/azie/land/japan/destination/aomori I want http://example/continent/azie/japan/aomori How can i realize this...? Grtz...remc...

Hi, I ran the following model using nlme: model2<-lme(log(malrat1)~I(year-1982),random=~1|Continent/Country,data=wbmal10) I'm trying to run a Poisson GlMM to avoid the above transformation but I don't know how to specify the model using lmer in the lme4 library: model3<-lmer((malrat1)~I(year-1982) + ??,data=wbmal10,family=poisson) How can I introduce a random factor of the form= ~1...

Hello, my dataset is already aggregated: I have two categorical variables, say "continent" and "country" and one non-negative metric variable "population". Now I would like to produce a mosaic plot which uses "population" to determine how large each area of the plot is. In other words, I fail to find out - how to use the mosaic function of the vcd pac...

Please explain me as what it means and how this analysis can be done using R and which library(ies) are needed. Thanks -- View this message in context: http://www.nabble.com/Regression-using-age-and-Duration-of-disease-as-a-continous-factors-tp24574133p24574133.html Sent from the R help mailing list archive at Nabble.com.

Hi guys I'm using Icecast , Ezstream for creating my Webtv for creating a continuos streaming of some files In the filename filed of Ezstream xml configuration i put a simple m3u playlist. My problems begin when ezstream begin to encode and stream the second file: If a use a system player , like Vlc or totem , the stream it's continous , if I use a web player like Cortado or Itheora

Hi guys I'm using Icecast , Ezstream for creating my Webtv for creating a continuos streaming of some files In the filename filed of Ezstream xml configuration i put a simple m3u playlist. My problems begin when ezstream begin to encode and stream the second file: If a use a system player , like Vlc or totem , the stream it's continous , if I use a web player like Cortado or Itheora

I have two tables CREATE TABLE continents ( id int(11) NOT NULL auto_increment, name varchar(255) NOT NULL, PRIMARY KEY (id) ) ENGINE=InnoDB DEFAULT CHARSET=utf8; CREATE TABLE countries ( id int(11) NOT NULL auto_increment, name varchar(255) NOT NULL, continent_id int(11) NOT NULL, PRIMARY KEY (id) ) ENGINE=InnoDB DEFAUL...

Hello R-User! I appologise in advance if this should also go into statistics but I am presently puzzled. I have a data.frame (about 300 rows and about 80 variables) and my variables are dichotomous factors, continuous (numerical) and ordered factors. I would like to calculate the linear correlation between every pair of my variables, because I would like to perform a logistic regression (glm())

...ch contains two columns. The first column is a list of countries, and the second column contains their political risk ratings. I would like to create one large plot that contains 5 different sections, each with a scatter plot. To clarify, I have divided the countries into 5 groups. For each group (continent), I would like to have the name of the continent on the x-axis, and points representing countries and their risk rating on the y-axis. However, I want all 5 scatter plots to be in one large plot. What function should I use to do this? Also, is it possible to label each point? thanks for any help!

Hello How can I select several not continuous rows ? If I wanted to select rows 1 to 7 I'll write mydata[,1:7] But what if I need to select rows 1 to 5 and 10 to 15? -- View this message in context: http://r.789695.n4.nabble.com/How-to-select-not-continous-rows-tp3003840p3003840.html Sent from the R help mailing list archive at Nabble.com.

Dear all. Is it possible to convert.identify iso3 country names to the seven continent names? # Asia, Africa, Antarctica, Australia, Europe, South America, and North America, I have tried the following: ### region <- merge(countryExData,df,by.x='ISO3V10',by.y='iso3') where df is the name of my dataset with iso3 the identification variable but there seems to be...

Hi, this is not a R question per se, but since I'm on the lookout for an R solution I thought this was the best place: I would like to calculate the entropy for a variable and the conditional entropy between two variables, H(X|Y) for variables X & Y I have coded the case for the categorical case but I'm having problems understanding how to do it for the continous case. >From

Dear All, This may be a silly question, but I have tried searching through a few of the existing threads already, and haven't found any information on this. I am trying to color code entire continents/regions (Asia, North America, Africa, etc.) based on the number of relevant companies. The data would look like: World Location Companies North America 4848 Western Europe 1972 East Asia 1373 Northern Europe 313 Southern Europe 276 Middle East 167 Pacific 209 Southern Asia 156 SouthEast Asia 14...

> On Sep 7, 2017, at 11:36 AM, Miluji Sb <milujisb at gmail.com> wrote: > > Dear all. > > Is it possible to convert.identify iso3 country names to the seven > continent names? > > # Asia, Africa, Antarctica, Australia, Europe, South America, and North > America, > > I have tried the following: > > ### > region <- merge(countryExData,df,by.x='ISO3V10',by.y='iso3') > > where df is the name of my dataset with iso3...

Hi All.. Am working on continous backup of mailboxes using rsync(for e.g by running rsync every 2 min) Things gets more complicated when users create Subfolders in INBOX , SENT , etc.. If anyone among you did that plz guide & advise. Thanks CoolAtt _________________________________________________________________ Your E-mail and More On-the-Go. Get Windows Live Hotmail Free.

Dear R Users, R Core Team, I have a two dimensional space where I measure a numerical value in two situations at different points. I have measured the change and I would like to test if there are areas in this 2D-space where there is a different amount of change (no change, increase, decrease). I don´t know if it´s better to analyse the data just with the coordinates or if its better to group them

Hi, Got my issues sorted. Error message solved: I heard from the guy who developed MuMIn and his suggestion worked. "As for the error you get, it seems you are running an old version of MuMIn. Please update the package first." I did (I was only 1 version behind in both R and in MuMIn) and error disappeared! Running quasipoisson GAM in MuMIn: As for my questions on GAM and " to