search for: citi

Hello, I have two different dataset, and wanted to join the two. For example I have a table of codes of cities, and other with with the codes of travels, [source for the destine]. what he wanted was to have a new data.frame with all the information city<-data.frame(city="Barcelona",cod=1) city<-rbind(city,data.frame(city="Madrid",cod=2)) city<-rbind(city,data.frame(city=&quo...

...ty="Barcelona",sales=22579)) x<-rbind(x,data.frame(city="Lisbon",sales=26333)) x<-rbind(x,data.frame(city="Barcelona",sales=253639)) x$num<-as.numeric(as.numeric(factor(x$city))) View(x) my problem and my doubts start here, I'm trying to create a list of cities and the code that was assigned in. x$num<-as.numeric(as.numeric(factor(x$city))) here seems to work fine, but the largest dataset repeats some values ??and hiding others, this is the correct way to present unique values ??in a column, and view the contents with other columns rescity<-x[un...

...;n" in that city, the other the sum of "y" in that city. If possible also show the sum in each bar as a label? I aggregated the data into sums like this: sum_data <- aggregate(. ~ City,data=raw_data,sum) this gave me the sums per city as I wanted but for some reason 1 of the cities is missing in the output. Using this code for the plot: ggplot(sum_data,aes(x = City,y = n)) + geom_bar(aes(fill = y),stat = "identity",position = "dodge") gave be a bar plot with one bar per city showing the sum of y as a color gradient. not what I expected given the &qu...

Hi, rails newbie needs help :) I have classified ads (cads) related with cities and categories: class Cad < ActiveRecord::Base has_and_belongs_to_many :categories has_and_belongs_to_many :cities end class Category < ActiveRecord::Base has_and_belongs_to_many :cads end class City < ActiveRecord::Base has_and_belongs_to_many :cads end I assume...

...to R. (1) creating of City-Dummy. I know in Stata: g byte city=0 replace city=1 if city==12&year==2000 and (2) Create a Time-Dummy-Variable g byte T2000=0 replace T2000=1 if year==2000 (3) I need the City DUmmy for the following combination: I have the financial flows between two cities in the state and I need the paired-Dummy for the exporter (state1) and importer (state2): g byte city11=0 replace city11=1 if state1==12¦state2==12 (4) I am interesting in residuals for particular city==12. I have the Dummy for City==12 and regress it on Y-Variable. How could I extract from t...

I have a data set covering a large number of cities with values for characteristics such as land area, population, and employment. The problem I have is that some cities lack observations for some of the characteristics and I'd like a quick way to determine which cities have missing data. For example: city<-c("A","A",&...

...tively new with Rails and I''m struggling for a long time with this problem (it should have a pattern solution but until now I didn''t find it): I have the following models: Institution, City, State and Country. class Country < ActiveRecord::Base has_many :states has_many :cities, :through => :states end # == Schema Information # Table name: countries # id :integer not null, primary key # sigla :string(2) not null # nome :string(30) not null class State < ActiveRecord::Base has_many :cities has_many :institutions, :t...

Can anyone shed some light on "rules" that might make the task of parsing the country code and city codes from a dialed number in the CDRs? I know that there is almost never a case where a concatenated country and city code could overlap with another country code, but what about city codes and local numbers? Is it possible for a concatenated city code and local number to match another

...month = substr(df, 6,7), day = substr(df, 9, 10), hour = substr(df, 12, 13), temp = substr(df, 21, 27)) data_frames[[i]] <- df } What I have been have been having trouble is adding the following information from the cities file (100 cities) for each of the downloaded data files. I would like to do the following but automatically: ### mydata$city <- rep(cities[1,1], nrow(mydata)) mydata$state <- rep(cities[1,2], nrow(mydata)) mydata$lon <- rep(cities[1,3], nrow(mydata)) mydata$lat <- rep(cities[1,4], nr...

...following to add identifying information: ### mydata <- data.frame(year = substr(x,1,4), month = substr(x, 6,7), day = substr(x, 9, 10), hour = substr(x, 12, 13), temp = substr(x, 21, 27)) mydata$city <- rep(cities[1,1], nrow(mydata)) mydata$state <- rep(cities[1,2], nrow(mydata)) mydata$lon <- rep(cities[1,3], nrow(mydata)) mydata$lat <- rep(cities[1,4], nrow(mydata)) ### Is it possible to incorporate these into your code so the data looks like this: dput(droplevels(head(mydata))) structure(list...

...00&endDate=1979-12-31T00&location=GEOM:POINT(-71.06,%2042.36)&type=asc2 ### In this case, variable: Tair_f_inst (temperature), location: (-71.06, 42.36), startDate: 01 January 1970; endDate: 31 December 1979; type: asc2 (output 2-column ASCII). I am trying to download data for 100 US cities, data for which I have in the following data.frame: ### cities <- dput(droplevels(head(cities, 5))) structure(list(city = structure(1:5, .Label = c("Boston", "Bridgeport", "Cambridge", "Fall River", "Hartford"), class = "factor"), s...

I try to catch click event on radio button, but nothing is executed.... Tested with RoR 1.1.2 and 1.1.3. What am I doing wrong? <%= radio_button_tag(:city, ''Dublin'') %> <%= observe_field(:citi, :frequency => 0.5, :on => ''click'', :with => "''city='' + $F(''citi'')", :url => { :action => ''remote_city_choosen'' }) %> ... d...

...), > hour = substr(x, 12, 13), > temp = substr(x, 21, 27)) The time and temp items would naturally be read in with read.table (or in the case of tab-delimited data with read.delim) after skipping the first 14 lines. > > mydata$city <- rep(cities[1,1], nrow(mydata)) There's no need to use `rep` with data.frame. If one argument to data.frame is length n then all single elelment arguments will be "recycled" to fill in the needed number of rows. Please take the time to work through all the pages of "Introduction to R&quot...

Dear R helpers   I have a city.csv file as given below.   'city.csv' city_name1        city_name2 New York City    Buffallo         So I define   city_name = read.csv('city.csv') city1 = city_name$city_name1 city2 = city_name$city_name2   My problem is how do I repeat the names one after other say 10 times i.e. my output should be like   New York City Buffallo New York City

...cation=GEOM:POINT(-71.06,%2042.36)&type=asc2 > ### > > In this case, variable: Tair_f_inst (temperature), location: (-71.06, > 42.36), startDate: 01 January 1970; endDate: 31 December 1979; type: asc2 > (output 2-column ASCII). > > I am trying to download data for 100 US cities, data for which I have in > the following data.frame: > > ### > cities <- dput(droplevels(head(cities, 5))) > structure(list(city = structure(1:5, .Label = c("Boston", "Bridgeport", > "Cambridge", "Fall River", "Hartford"),...

belongs_to :through Why is that not possible? We should have: Street belongs_to :city belongs_to :country, :through => :city -- Posted via http://www.ruby-forum.com/.

...uot;y" in that > city. > > If possible also show the sum in each bar as a label? > > I aggregated the data into sums like this: > > sum_data <- aggregate(. ~ City,data=raw_data,sum) > > this gave me the sums per city as I wanted but for some reason 1 of the > cities is missing in the output. > > Using this code for the plot: > > ggplot(sum_data,aes(x = City,y = n)) + geom_bar(aes(fill = y),stat = > "identity",position = "dodge") > > gave be a bar plot with one bar per city showing the sum of y as a color > gradie...

Hi R community, I'm just starting out in R and have a basic question about xyplot and tables. Suppose I had a table of data with the following names: Height, Age_group, City. I'd like to plot mean Height vs Age_group for each City. When I try to do the following: > library(lattice) > xyplot(mean(Height) ~ Age_group | City) of course I get just one data point, the mean Height for

Hi I have another question for how best to do this. Now I have been following the tutorial at: http://www.tunaslut.com/learning-ruby-drop-down-lists-in-one-to-many-relationships, however when I change the view over from <% @cities.each do |city| %> <tr> <td><%=h city.city_name %></td> <td><%=h city.country_id %></td> to: <% @cities.each do |city| %> <tr> <td><%=h city.city_name %></td> <td><%=h city.country.country_nam...

Rails 3.1.3 After watching http://railscasts.com/episodes/258-token-fields?autoplay=true I have installed the similar functionality to my app. However, def index @cities = City.all ... does in fact give the list of all cities in the text field, but def index @cities = City.where("name like ?", "%#{params[:q]}%") ... does NOT search cities at all. Since above case works (though not incremental filter), the probl...