search for: group_bi

Dear group, Is there a way I could avoid the sort of duplication illustrated below? i.e., I have the same dplyr::summarise function on different group_by arguments. So I'd like to create a single summarise function that could be applied to both. My attempt below fails. df <- data.frame(matrix(rnorm(40), 10, 4), f1 = gl(3, 10, labels = letters[1:3]), f2 =

Hi Lars I am not very sure what you really want. However, I am suggesting the following code that enables (1) to obtain the full summary of your data and (2) retrieve only mean of X values as function of factors f1 and f2. library(tidyverse) library(psych) df <- data.frame(matrix(rnorm(40), 10, 4), f1 = gl(3, 10, labels = letters[1:3]), f2 = gl(3, 10, labels

Hi Lars, Two comments: 1. You can achieve what you want with a slight modification of your definition of s(), using the hint from the error message that you need an argument '.': s <- function(.) { dplyr::summarise(., x1m = mean(X1), x2m = mean(X2), x3m = mean(X3), x4m = mean(X4)) } 2. You have not given a great test case in

Hi, I tried this: # extract date from the time stamp dt1 <- cbind(as.Date(dt$EndDate, format="%m/%d/%Y"), dt$EnergykWh) head(dt1) colnames(dt1) <- c("date", "EnergykWh") and my dt1 becomes these, the dates are replace by numbers. dt1 <- cbind(as.Date(dt$EndDate, format="%m/%d/%Y"), dt$EnergykWh) dput(head(dt1)) colnames(dt1) <-

Hello, i want to create a multidimensional Array or Hash with group_by ''created_at''. 3 dimensions needed: myArray[week][day][data] currently i only created it with 2 dimesions: #model def self.group_per_day all.group_by{|t| t.created_at.strftime("%d. %B, %Y")}.sort #"%U" for Weeks end #controller @pdf_activities = Activity.group_per_day #view

Hola, Tengo un data set con información de transferencias monetarias por paciente provincia y modalidad de atención. Necesito hacer en una misma operación una suma de dinero por provincia y modalidad y a su vez una cuenta de pacientes por provincia y modalidad. Esto funciona bien: transferencias<-becas_modalidades %>% group_by(PROVINCIA,Modalidad) %>% summarize(dinero =

Is this what you are after? library(tidyverse) library(lubridate) input <- structure(list(StationName = c("PALO ALTO CA / CAMBRIDGE #1", "PALO ALTO CA / CAMBRIDGE #1", "PALO ALTO CA / CAMBRIDGE #1", "PALO ALTO CA / CAMBRIDGE #1", "PALO ALTO CA / CAMBRIDGE #1", "PALO ALTO CA / CAMBRIDGE #1", "PALO ALTO CA / CAMBRIDGE

Hi, I have a grouped data set and would like to calculate weighted proportions for a large number of factor variables within each group member. Rather than using dplyr::count() on each of these factors individually, the idea would be to do it for all factors at once. Does anyone know how this would work? Here is a reproducible example: ############################################################

Buenas para tod en s, tengo una consulta para poder optimizar tiempos. Ejemplo tengo el siguiente dataframe: distrito<-c("A","A","A","B","B","B","C","C","C","A","A","B","B","C")

hello, Suppose I have a table that looks like this: center name email Health Jon jon@test.com Health Bob bob@test.com Admin Jane jan@test.com Admin Jill jill@test.com I would like the output to look like this: Health Jon jon@test.com Bob bob@test.com Admin Jane jan@test.com Jill jill@test.com when i using cold fusion, this was easy via a tag called cfoutput. when i was using java, this was

Hi, I''m attempting to create a users statistics controller, and have saved up some questions regarding this for this post. So, please comment on any one of them, if not all :-) 1) Is there a library somewhere for doing stats? (e.g. mean, median, sd, skewness..) on an array in rails? 2) What library would you recommend for "publication ready" (i.e. not cheesy) histograms,

Yes but this exageration precisely misses the point. Concerning your examples: * I love fread but I think it makes a lot of subjective choices that are best associated with a package. I think it changed a lot with time and can still change, and we have great developers willing to maintain it and be reactive regarding feature requests or bug reports *.group_by() adds a class that works only (or

Pido ayuda para calcular el SALDO *DATAFRAME:* ASIENTO FECHA CUENTA CONCEPTO ARS_DEB ARS_HAB SALDO 1 1 2020-01-01 40100006 Asiento de Apertura 0 199517. -199517. 2 231 2020-01-13 40100006 15/01 CH53677071 GALICIA 14054. 0 14054. 3 231 2020-01-13 40100006 20/01 CH22406030 CREDICOO 9458. 0 23511. 4 231 2020-01-13

so I am trying to sum month over month the amount that a user has posted. So for example: User 1: Jan $3000 Feb $4000 March $1500, etc. I can get this to work if I sum totals (aggregate of all users) but just not by user. Here is my code in the controller: def index @users = User.find :all, :order => ''name ASC'' @deal_groups = Deal.find(:all).group_by {|t|

Hi.. I need some support... table: week_id, user_id, project_id, hours ex. => 33, 2, 1, 10 34, 2,1,15 33, 2, 2, 20 35, 3, 1,20 etc. Want to display a sum of hours per week_id per user_id I have: @hours = HourUser.includes(:user).group_by { |h| h.week_id } @hours.keys.sort.each do |hour| @hours[hour].collect(&:stunden).sum Hours are summed up, but not sorted by user_id.. How to get

Dear all, I have this set of data. I would like to sum the EnergykWh according date sequences. > head(dt1,20) StationName date time EnergykWh 1 PALO ALTO CA / CAMBRIDGE #1 1/14/2016 12:09 4.680496 2 PALO ALTO CA / CAMBRIDGE #1 1/14/2016 19:50 6.272414 3 PALO ALTO CA / CAMBRIDGE #1 1/14/2016 20:22 1.032782 4 PALO ALTO CA / CAMBRIDGE #1 1/15/2016 8:25 11.004884 5

I''ve got a publications table that contains an author_id foreign key and a pubrole_id foreign key. What I want to do is query the DB using AR so that I can get a list of all publications that belong_to a particular author, and group the results by the pubrole.role_name (Author, Joint Author, Editor, etc.) so that the results look something like: Author book1 info book2 info etc.

Buenas tardes chicos, estoy intentando hacer un gráfico que resuma para cada dia de la semana la información de algunos distritos específicos de los que contiene mi variable, ejecuto esta sintaxis pero me da un error Error: Mapping should be created with `aes() or `aes_()`. Alguien me puede orientar sobre que estoy haciendo mal, llevo mucho rato atascada. Muchas gracias df_nuevofinal %>%

Hola: A ver si me podéis ayudar que estoy atascado... Necesito contar los subcasos de la columna 2 de un dataframe respecto a los casos de la columna 1. Es decir, tengo un data.frame a<-c(rep(c('a','b','c','b','c'),3),'b') b<-c(rep(c('x','y','z','w'),4)) c<-c(rep(c(1,1,0,0),4))

This patch adds support for symbol versions. It is based on what libvirt does. The generated syms file looks like: LIBNBD_1.0 { global: nbd_...; nbd_...; local: *; }; In a future stable 1.2 release, new symbols would go into a new section which would look like this: LIBNBD_1.2 { global: nbd_new_symbol; nbd_another_new_symbol; local: *; } LIBNBD_1.0; In my testing the