similar to: List of Data Frames

The rbind on empty and nonempty data frames behaves inconsistently. I am not sure if by design. In the first example, first row is deleted, which may or may not be on purpose: df1 <- data.frame() df2 <- data.frame(foo=c(1, 2), bar=c("a", "b")) rbind(df1, df2) foo bar 2 2 b Now if we continue: df1 <- data.frame(matrix(0, 0, 2)) names(df1) <- names(df2)

I have a series of data frames that are identical structurally, i.e. - made with the same code, but I need to add them together so that they become one, longer, data frame, i.e. - each of the slot vectors are increased in length by the length of the added data frame vectors. So if I have df1 with a slot A so that length(df1$A) = 100 and I have df2 with a slot A so that length(df2$A)=200 then I

Hi, what is the recommended way to vertically concatenate 2 data frames with the same column names but different number of rows? My problem is something along these lines: df1 <- data.frame(var1=var1,var2=var2,var3=var3) # nrow(df1)=1000 df2 <- data.frame(var1=var4,var2=var5,var3=var6) # nrow(df2)=2000 I tried df <- c(df1,df2), no success. stack does not seem to be appropriate

Hello all, I cannot seem to figure out this seemingly simple procedure. I want to sort a data frame by a specified character vector. So for : df.. <- data.frame(Season=rep(c("Summer","Fall","Winter","Spring"),4),Obs= runif(length(rep(c("Summer","Fall","Winter","Spring"),4)))) I want to sort the data frame

Hi, I have two data frames each with 5 columns and different number of rows. some of the row names in one data frame are the same as the row names in the other. I want to be able to merge the two data frames to get a new data frame in which the duplicated row names are only shown once with the data for the rest of the columns used from the first data frame. Essentially, I want to make a union

I've been doing some consulting with students who seem to come to R from SAS. They are usually pre-occupied with do loops and it is tough to persuade them to trust R lists rather than keeping 100s of named matrices floating around. Often it happens that there is a list with lots of matrices or data frames in it and we need to "stack those together". I thought it would be a simple

Hi, I'm looking to combine two data frames. Several of the columns are in common while the others need to be summed up. The apply functions and the merge functions don't seem to be working. I've included a basic example of what I'm trying to do below. Thanks! Sean data.frame1<-as.data.frame(matrix(c('winter','dredge','515',100,150),1,5))

Hi everybody. I'll first explain my problem and what I'm trying to do. Admit this example: I'm working on 5 different weather stations. I have first in one file 3 of these 5 weather stations, containing their data. Here's an example of this file: DF1 <- data.frame(station=c("ST001","ST004","ST005"),data=c(5,2,8)) And my two other stations in

I am working on predicitng the scores for a days worth of matches of team sports. I have already collected data for the teams for the season we are concentrating on. I have been fitting poisson models for football games and have worked out what model is best and which predictor variables are most important. We would now like to predict the probability distribution for the scores for each team.

Hi there, couple of questions on data frames: 1) Is there a way to build an empty data frame, containing nothing but the data frame variable names? 2) Is there a way to reorder the variables in a data frame, e.g. When I go to write out a data frame using write.table or write.matrix, I want the output in a certain order... 3) How to I "append" to the bottom of a dataframe? Thanks! --j

I have reached the correlation section in a course that I teach and I hit upon the idea of using data from the weekly Bowl Championship Series (BCS) rankings to illustrate different techniques for assessing correlation. For those not familiar with college football in the United States (where "football" refers to American football, not what is called soccer here and football in most

Hello, I would like to merge two data frames with partially overlapping column names with an rbind-like operation. For the follow data frames, df1 <- data.frame(a=c("A","A"),b=c("B","B")) df2 <- data.frame(b=c("b","b"),c=c("c","c")) I would like the output frame to be (with NAs where the frames don't

Hello all, I have files (see attached) which are created daily. I want to load about a weeks worth of them (7 daily files) and plot a weeks worth of one variable together. So one variable name is delta_D_H. I would like to plot this variable from all 7 days on one plot. I'm having trouble figure out how to do this. I've loaded them all up using this time=Sys.time() t1<-

Thank you Pikal and Bert. My apology for posting parts of my previous email in HTML. Bert's suggestion will work but i am wondering if there is an alternative especially in the case where the data frames are big; that is the difference in lengths among them is large. Below is a list of sample date frames and desired result. EK

Hello, I have a nested named list structure, like the following: x <- list( list( list(df1,df2) list(df3, list(df4,df5)) list(df6,df7))) with df1...d7 as data frames. Every data frame is named. Is there a way to get a specific named element in x? so, for example, x[[c("df5")]] gives me the data frame 5? Thank you in advance! Best, Friedericksen

Buenas tardes, Estoy tratando de fusionar dos data.frames pero no obtengo lo deseado. Un data.frame (Df1)tiene 53.657 observaciones (y 8 variables) que pertenecen una a cada individuo de la muestra. El otro (Df2) tiene 63.987 observaciones (y 17 variables), de los 53.657 individuos previos porque algun individuo tiene varias observaciones. Ambos solo coinciden por la variable

Hi: How do I select different variables from a list of data frames. I have a list of 13 that looks like below. Each data frame has more variables than I need. How do I go through the list and select the variables that I need. In the example below, I need to get the variables "a", and "q10" and "q14" to be returned to two separate data frames. Thank you. Yours, Simon

Holabueno, aunque hay muchas posibilidades para fusionar ambas tablas, usando la tuya sería algo así:Df3<-merge(Df1,Df2,by="Reviewer.Username", all = TRUE) El Lunes 16 de enero de 2017 20:08, Jesús Para Fernández <j.para.fernandez en hotmail.com> escribió: Los data.frames para unirlos lo mejor es que tengan el mismo numero de columnas o variables. El dataframe2 

Hello! I have 2 data frames like this (well, actually, I have 200 of them): df1<-data.frame(location=c("loc 1","loc 2","loc 3"),date=c("1/1/2010","1/1/2010","1/1/2010"), a=1:3,b=11:13,c=111:113) df2<-data.frame(location=c("loc 1","loc 2","loc

Hello I have 2 data frames DF1 and DF2 where DF2 is a subset of DF1: DF1= data.frame(V1=1:6, V2= letters[1:6]) DF2= data.frame(V1=1:3, V2= letters[1:3]) How do I create a new data frame of the difference between DF1 and DF2 newDF=data.frame(V1=4:6, V2= letters[4:6]) In my real data, the rows are not in order as in the example I provided. Thanks much Joseph [[alternative HTML version