similar to: Coloring Continents/Regions of World Map

> On Sep 7, 2017, at 12:21 PM, Miluji Sb <milujisb at gmail.com> wrote: > > df is a data frame consisting of one variable (iso3 codes) such as > > USA > RUS > ARG > BGD > ITA > FRA > > > Some of these iso3 codes are repeated and I would like the corresponding continent name, the countrycode package does not seem to distinguish between North and

> 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 <-

df is a data frame consisting of one variable (iso3 codes) such as USA RUS ARG BGD ITA FRA Some of these iso3 codes are repeated and I would like the corresponding continent name, the countrycode package does not seem to distinguish between North and South America. Thanks. Sincerely, Milu On Thu, Sep 7, 2017 at 9:00 PM, David Winsemius <dwinsemius at comcast.net> 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 the identification variable but there seems to be a a lot of

Dear List, This is Elaine, a postgraduate studying in bird distributions in East Asia. I want to calculate Simpson dissimilarity index, based on a presence/absence matrix of bird species in islands in East Asia. (matrix row: 36 islands/matrix column: species ID) (R package vegan to make NMDS and R package betapart) In most papers using vegan for NMDS and betapart for dissimilarity

Hello, I have read through the manuals and can't seem to find an answer. I have a categorical, character variable that has hundreds of values. I want to group the existing values of this variable 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

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 DEFAULT CHARSET=utf8; I generate scaffolds for country and for

How can I scope the options returned by option_groups_from_collection_for_select? Method calls look like this: option_groups_from_collection_for_select (collection, group_method, group_label_method, option_key_method, option_value_method, selected_key = nil) But say I want to limit the results returned by the option_key and option_value methods to some particular scope? For instance, using the

Hello, The code here https://github.com/gsliepen/tinc/blob/master/src/graph.c#L150-L233 looks like the SSSP for indirect data forwarding is generated by looking for the minimal number of hops. Is there any possibilities or plan to generate the SSSP by using the weights of edges. And, is there any plan to add an option to allow indirect data forwards if the direct UDP channel is worse than the

This message is in MIME format. --=_6vx1wr5xhvr4 Content-Type: text/plain; charset=ISO-8859-1; DelSp="Yes"; format="flowed" Content-Disposition: inline Content-Transfer-Encoding: quoted-printable Dear R Core Team, Help to 'read.table' claims that 'read.csv' is identical to 'read.table' except for the defaults. However, 'read.table' seems

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 package

Dear useRs and developeRs, I hope all attending useR! in Dortmund last week had as much a good time as I had and a safe trip home. This email is to announce our plans for forthcoming conferences. In 2009 there will be a useR! in Rennes, France (July 8-10), directly followed by a DSC in Copenhagen, Denmark (July 13-14). We would like to have a useR! 2010 in North America, and 2011 in Europe.

Dear useRs and developeRs, I hope all attending useR! in Dortmund last week had as much a good time as I had and a safe trip home. This email is to announce our plans for forthcoming conferences. In 2009 there will be a useR! in Rennes, France (July 8-10), directly followed by a DSC in Copenhagen, Denmark (July 13-14). We would like to have a useR! 2010 in North America, and 2011 in Europe.

On Fri, 7 Aug 2020 at 09:15, Chris Adams <linux at cmadams.net> wrote: > > Once upon a time, Alessandro Baggi <alessandro.baggi at gmail.com> said: > > you are right but is not UEFI a standard and it shouldn't work the > > same on several vendors? I ask this because this patch broken all my > > uefi workstations. > > The great thing about standards is

Hello: As someone making the move from STATA to R, I'm finding it difficult at times to perform basic tasks in R, so forgive me if I've missed an obvious and easily obtained solution to my problem. I've searched the help guides and the archives and have not been able to find a solution that works. I have a data frame with thousands of observations that looks something like this:

Dear R'Helpers and Colleagues, I have looked in the documentation, asked to some colleagues in the lab, but was unable to solve the following difficulty. I am running R on a iMac G5 with OS 10.4. The file below (73 rows x 144 col) shows the values of a climatic index on the globe with a grid of 2,5 ? x 2,5 ? (NA = no value): ? With image() and map() and running the following

Hey there, first off, English is not my native language, i would be glad if you could forgive me the mistakes i may do. Ive been trying to get "Continent of the ninth" running on my Ubuntu 10.04 system. Ive already searched the web for solutions but it seems to me that no Linux user plays this game. Installing the game was no problem, but it just wont start/update. Back then i used

Hi, Im currently dealing with large datasets of some climatic parameters and I'm performing some EOF analysis on them. The problem is that for one of the datasets, the continents are labelled as NA's (since the data was gathered over the oceans). I don't know to which extent the dropping of those NA's from the matrix will affect the future calculus, and how to maintain the

I want to create a VoIP solution to allow many members of a closed community to talk to each other (one on one) via soft phones. In many ways, what I want is not unlike Skype, except that it would allow for relative anonymity and be open only to a select group. The system should support as many as 500 simultaneous users located on different continents. Is Asterisk an appropriate tool to use in

Hi all, I'm trying to draw a bubble plot over a map -- where the map shows local government areas (LGA) in Australia (or other structures under the Australian Standard Geographical Classification), but am not sure where I can find the data to plot such maps (e.g. draw the state of Northern Territory but also showing LGA divisions). Any help will be greatly appreciated, apologies if this is