similar to: bind mean to a df

Hello, does anyone know how to take the mean for a subset of observations? For example, suppose my data looks like this: OBS NAME SCORE 1 Tom 92 2 Tom 88 3 Tom 56 4 James 85 5 James 75 6 James 32 7 Dawn 56 8 Dawn 91 9 Clara 95 10 Clara 84 Is there a way to get

Hello, I am having trouble getting the output from the tapply function formatted so that it can be made into a nice table. Below is my question written in R code. Does anyone have any suggestions? Thank you. Geoff #Input the data; name <- c('Tom', 'Tom', 'Jane', 'Jane', 'Enzo', 'Enzo', 'Mary', 'Mary'); year <- c(2008, 2009,

Hello, I have an unbalanced panel data set that looks like: ID,YEAR,HEIGHT Tom,2007,65 Tom,2008,66 Mary,2007,45 Mary,2008,50 Harry,2007,62 Harry,2008,62 James,2007,68 Jack,2007,70 Jordan,2008,72 That is, James, Jack, and Jordan are missing a YEAR. Is there any command that will "fill in" the missing YEAR such that the end result will be balanced and look like: ID,YEAR,HEIGHT

Can anyone please tell me how to get the r-squared output from a piecewise (segmented) regression using the strucchange package? Here is the R code I have tried thus far. library(lmtest) library(strucchange) data <- ts(c(rnorm(30), runif(30)), frequency = 12, start = c(2005, 01)) bpts <- breakpoints(data ~ 1) print(bpts) summary(bpts) coeftest(bpts) [[alternative HTML version

Suppose my data looks like this: Obs, Male, Female, Height 1, T, F, 66 2, F, T, 64 3, T, F, 59 4, T, F, 55 5, F, T, 62 6, T, F, 67 7, T, F, 58 8,

Hello, does anyone know how to compute the following two normality tests using R: (1) the Kiefer-Salmon (1983) statistic, Economics Letters 11, p. 123-127 (2) the modified Shapiro-Wilk statistic? Thank you very much. Geoff [[alternative HTML version deleted]]

Hello, I have some unbalanced panel data that is measured on weekdays only (i.e., excluding Saturday and Sunday). I would like to get the number of days between dates such that the number of days between a Friday and a Monday is 1 (and not 3). Here is some code to illustrate my problem: library('Hmisc'); DATE <-

Hello, I would like to write a function that makes a grouping variable for some panel data . The grouping variable is made conditional on the begin year and the end year. Here is the code I have written so far. name <- c(rep('Frank',5), rep('Tony',5), rep('Edward',5)); begin <- c(seq(1990,1994), seq(1991,1995), seq(1992,1996)); end <- c(seq(1995,1999),

Does anyone know of any RSpec screencasts for dummies, like me :) I have a Java background, but I have never written a java test in my life. I''ve never learned about TDD or BDD so I''m totally blank on everything that has anything to do with testing and stuff. Where should I start?!? ;) Christian... --~--~---------~--~----~------------~-------~--~----~ You received this

>From the documentation I have found, it seems that one of the functions from package plyr, or a combination of functions like split and lapply would allow me to have a really short R script to analyze all my data (I have reduced it to a couple hundred thousand records with about half a dozen records. I get the same result from ddply and split/lapply: >

Hi everyone, Once again I am stuck with a problem I can't seem to figure out. I suppose this learning curve levels off eventually, lol. I am learning on my own with absolutely no background in programming, so if I seem to request help a lot it's not because I am seeking others to do the work for me. I need to assign one of two arrival times to the 'ARRIVE' variable of my

Hello all, I have not been able to find an answer to this problem. I feel like it might be so simple though that it might not get a response. Suppose I have a dataframe like the one I have copied below (minus the 'calib' column). I wish to create a column like calib where I am subtracting the 'Count' when 'stain' is 'none' from all other 'Count' data for

En R me sale bien la tabla en R studio no se muestra la tabla , poe favor ayuda! library(sjPlot) tab_corr(df[,2:6], p.numeric = TRUE) -- saludos Jose [[alternative HTML version deleted]]

Hi, I couldn''t find a better word for pop, but let''s go: There are 3 models: sale, pop and product sale: -total:integer pop: -quantity:integer -discount:float product: -name:string -price:float A sale can have many different products, each one has a quantity and discount associated. So each sale has_many :products through => pops And each product has_many :sales

Hi all I have a data frame with duplicate columns and i want to remove duplicates by adding rows in each group of duplicates, but have lots of NA's. Data: dfrm <- data.frame(a = 1:4, b= 1:4, cc= 1:4, dd=1:10, ee=1:4) names(dfrm) <- c("a", "a", "b", "b", "b") dfrm[3,2:3]<-NA dfrm a a b b b 1 1 1 1 1 1 2 2 2 2 2 2 3

Hi all, I have a dataframe with survey data. Now I want to calculate means from several but not all columns (e.g. a1, a2, a3) and save them in a new separate column (e.g. a). Like: a = mean(a1, a2, a3) Can someone help me or give me the right key word to look for? Thanks [[alternative HTML version deleted]]

Dear all, let say I have following data frame: > data.frame(x=rnorm(18), y=rep(c("a", "b", "c"), each=6)) x y 1 -1.072152537 a 2 0.382985265 a 3 0.058877377 a 4 -0.006911939 a 5 -2.355269051 a 6 -0.303095553 a 7 0.484038422 b 8 0.733928931 b 9 -1.136014346 b 10 0.503552090 b 11 1.708609658 b 12 -0.294599403 b 13

Hi, I'd like to get away from SAS, but I don't really know R well enough at this point to know if it would be good for this project. I tried to describe the essence of the project below without getting bogged down in details. It starts when I receive a data flat file. There's lots of columns, but the relevant ones are: custid (customer ID number) saledt (date of sale)

R users: Thanks in advance  How to generate missing at random (MAR)? assaedi76@yahoo.com Thanks [[alternative HTML version deleted]]

Hello A lot of windows application need access to an USB port. For Wine a library (or a patch) exists to manage that but it is not include in the "official" release. If we want to work with this USB port, we have to compile a personal version of Wine, but this is not really obvious for every body. Why this feature is not include in the release ? Do you plan an official release with