search for: date_tim

hi all I have this dataframe (created as a reproducible example) mydf<-structure(list(date_time = structure(c(1508238000, 1508238000, 1508238000, 1508238000, 1508238000, 1508238000, 1508238000), class = c("POSIXct", "POSIXt"), tzone = ""), direction = structure(c(1L, 1L, 1L, 1L, 2L, 2L, 2L), .Label = c("A", "B"), class = "factor"),...

Hello, Using base R only, the following seems to do what you want. with(mydf, ave(speed, date_time, type, FUN = weighted.mean, w = n_vehicles)) Hope this helps, Rui Barradas Em 09-11-2017 13:16, Massimo Bressan escreveu: > Hello > > an update about my question: I worked out the following solution (with the package "dplyr") > > library(dplyr) > > mydf%>% &gt...

Hi All. I have a mysql statement that I would really really like to call from my Ruby program which goes like this: SELECT a, b, DAYOFWEEK(date_time) as DOW, HOUR(date_time) at hr, AVG(x/y) FROM records; This is possible by creating a 3-dimentional array of a, b, date_time containing x/y, and then finding averages and putting it into a 4-dimensional array of a, b, dow, and hr. _3-dim_array_ a b date_time _4-dim_arr...

Hello an update about my question: I worked out the following solution (with the package "dplyr") library(dplyr) mydf%>% mutate(speed_vehicles=n_vehicles*mydf$speed) %>% group_by(date_time,type) %>% summarise( sum_n_times_speed=sum(speed_vehicles), n_vehicles=sum(n_vehicles), vel=sum(speed_vehicles)/sum(n_vehicles) ) In fact I was hoping to manage everything in a "one-go": i.e. without the need to create the "intermediate" variable called "speed_v...

...= $dir.$finame; $finame = $finame.".gsm"; # populate the DB with the required information # Agent, Filename, date, time # Get the Date and Time $gdate = $dbh->selectrow_array ("SELECT current_date()"); $gtime = $dbh->selectrow_array ("SELECT current_time()"); $date_time = "$gdate $gtime"; # Cross reference the Agent Phone with extension $phone = $dbh1->selectrow_array ("SELECT phone from map where extn = '$extn'"); $agent = $dbh1->selectrow_array ("SELECT UserID from agent where phone = '$phone'"); # Put data...

...library(gsubfn) DD <- strapply(L.DD, pat, c, simplify = rbind) DDdf <- data.frame(gauge = as.numeric(DD[,1]), gauge_name = DD[,2]) both <- merge(DF, DDdf, by = "gauge", all.x = TRUE) dts <- as.character(both[,"date"]) tms <- as.character(both[,"time"]) date_time <- as.chron(paste(dts, tms), "%Y-%m-%d %H:%M") DF <- data.frame(date_time, both) library(ggplot2) #discharge if(input=="discharge"){ qplot(as.POSIXct(date_time), discharge, data=DF, geom="line")+facet_wrap(~gauge_name, scales="free_y")+coord_trans(y=&q...

...I have a irregularly spaced time series dataset, which reads in from a .csv. I need to convert this to a regularly spaced time series by filling in missing rows of data with NAs. So my data, called NtuMot, looks like this (I've removed some of the additional rows for simplicity).... ELEID date_time height slope 1 2009-06-24 00:00:00 150 4.0 1 2009-06-24 01:00:00 175 4.0 1 2009-06-24 02:00:00 180 2.3 1 2009-06-24 03:00:00 200...

Hi, I'm new to R and new to this forum. I'm struggling with trying to extract certain rows of data from my data.frame. The data.frame has eleven columns. Among those columns are "FISH_ID" and "DATE_TIME". FISH_ID is a factor. For each of my 21 unique FISH_IDs (levels) I have a few to a few thousand rows, each row with a unique DATE_TIME value. I would like to obtain, for each FISH_ID, the entire record from the data.frame with the latest DATE_TIME value (i.e. max (DATE_TIME). Thus, the resul...

Dear Massimo, It seems straightforward to use weighted.mean() in a dplyr context library(dplyr) mydf %>% group_by(date_time, type) %>% summarise(vel = weighted.mean(speed, n_vehicles)) Best regards, ir. Thierry Onkelinx Statisticus / Statistician Vlaamse Overheid / Government of Flanders INSTITUUT VOOR NATUUR- EN BOSONDERZOEK / RESEARCH INSTITUTE FOR NATURE AND FOREST Team Biometrie & Kwaliteitszorg / Tea...

...ct: Re: [R] weighted average grouped by variables > > Hello > > an update about my question: I worked out the following solution (with the > package "dplyr") > > library(dplyr) > > mydf%>% > mutate(speed_vehicles=n_vehicles*mydf$speed) %>% > group_by(date_time,type) %>% > summarise( > sum_n_times_speed=sum(speed_vehicles), > n_vehicles=sum(n_vehicles), > vel=sum(speed_vehicles)/sum(n_vehicles) > ) > > > In fact I was hoping to manage everything in a "one-go": i.e. without the need > to create the "intermediat...

...tion'' /usr/local/lib/ruby/gems/1.8/gems/activerecord-1.14.2/lib/active_record/transactions.rb:126:in `save'' #{RAILS_ROOT}/app/controllers/admin_controller.rb:25:in `create'' Request Parameters: {"commit"=>"Create", "enquiry"=>{"date_time(1i)"=>"2006", "date_time(2i)"=>"6", "date_time(3i)"=>"30", "date_time(4i)"=>"00", "date_time(5i)"=>"13", "mytel"=>"1", "callback"=>"0", "...

...les) sum(mydf$speed*mydf$n_vehicles)/sum(mydf$n_vehicles)) > gives you averages > The result of this calculation is: car light_duty heavy_duty motorcycle 36.54109 36.54109 36.54109 36.54109 But this doesn't give the same result as the dplyr method which is: date_time type vel <dttm> <fctr> <dbl> 1 2017-10-17 13:00:00 car 36.39029 2 2017-10-17 13:00:00 light_duty 38.56522 3 2017-10-17 13:00:00 heavy_duty 37.53333 4 2017-10-17 13:00:00 motorcycle 36.08696 The base R way of getting the result should be mo...

I have a problem with duplicated date_time stamps that I do not see as duplicated. I read a file with observations taken every 30 minutes: > aur2009=read.csv(paste(datadir,"AUR_ECPP_2009.csv",sep="/"),sep=";",stringsAsFactors=F) > aur2009[1:3,1:5] Date.Time E_filled E_filled_flag LE_filled LE_fil...

...library(gsubfn) DD <- strapply(L.DD, pat, c, simplify = rbind) DDdf <- data.frame(gauge = as.numeric(DD[,1]), gauge_name = DD[,2]) both <- merge(DF, DDdf, by = "gauge", all.x = TRUE) dts <- as.character(both[,"date"]) tms <- as.character(both[,"time"]) date_time <- as.chron(paste(dts, tms), "%Y-%m-%d %H:%M") DF <- data.frame(Date=as.POSIXct(date_time), both) #change precip to numeric DF[,"precipitation"] <- as.numeric(as.character(DF[,"precipitation"])) precip.1 <- subset(DF, precipitation!="NA") b <...

...help me with the "transactions" object. I am struggling to get my data in. I know the answer is in the help somewhere I'm sure, I just cannot find it. Essentially, I have data in this format (though I can change it if it particularly unsuitable) Transaction_id, store , salesman, date_time , items 1 , waterfront, john , 2008-01-01 12:00:00, hardware games audio_visual photo 2 , sandton , lisa , 2008-01-02 12:00:00, photo 3 , waterfront, peter , 2008-01-01 12:00:00, hardware photo How do I get this into a transactions data...

...a to two stations- one that has precipitation and one that does not. This is going to be in the context of a larger data set. I would like to be able to issue a ggplot command and have cum sum just act on the facets (factors) to apply this. library(chron) library(ggplot2) DF <- structure(list(date_time = structure(c(14522, 14522.0104166667, 14522.0208333333, 14522.03125, 14522.0416666667, 14522.0520833333, 14522.0625, 14522.0729166667, 14522.0833333333, 14522.09375, 14522.1041666667, 14522.1145833333, 14522.125, 14522.1354166667, 14522.1458333333, 14522.15625, 14522.1666666667, 14522.1770833333,...

Hi! I'm reading a tab-seperated CVS file with: test1 <- read.table("data.txt", header=TRUE) It's in the following format: Date_Time qK qL vL vP ... 0 30 22 110 88 ... ... (BTW: It seems to me R shifts the column descriptions by one.) Anyway, I would like to Fourier-transform one column. So I say: > fft(test1$vP) Error in levels(x)[x] : invalid subscript type 'complex' I guess this is some typing error bu...

...te presentation. The code below shows me trying a variation of something I found, but I''m unable to get any parameters through to the action.: rhtml ====== <% @logs.each do |log| %> <tr> <td><%= log.base_name %></td> <td><%= log.date_time %></td> <td><%= log.status %></td> <td><%= log.test_run_path %></td> <td><%= link_to log.test_results_path, :action => "show_results", :id => o, :params => { :result_file => log.test_results_path} %> </td...

...ds) [num,results,results2] end ############################## I added date_registered to the ferret fields and rebuilt the index (not sure if this is neccessary but anyway) but my results page still shows the results in a random order. Seems like the sorting has no effect. date_registered is a date_time field. I call ifnd by contents twice in the above code because i need to populate some dropdowns with values for the entire returned results so that they can be used to refine the search. Also just from the look of this code am i right in thinking that each page of results will be sorted but not...

...phone_service_number = PhoneServiceNumber.find(:first, :conditions => "number = ''#{record[:charged_party]}''") customer_id = 0 customer_id = phone_service_number.customer_id if phone_service_number != nil phone_service_record.date_time = record[:date_time] phone_service_record.duration = record[:duration] phone_service_record.originating_number = record[:originating_number] phone_service_record.terminating_number = record[:terminating_number] phone_service_record.charged_part...