search for: describebi

Problema de autodidacta que no sabe cómo se llaman a las cosas, entonces no le sabe preguntar Google: Tengo una función que tiene que generar unos vectores, para después evaluarlos y devolverme el resultado; necesito que genere los nombres de los vectores y asignarles valores. Y No sé ni hacerlo ni decirlo con pocas palabras. a function(describir, segun.variable) { matriz <-

Hi, i am new to this forum and not sure how it works, I am trying to do deskriptive descripe my data in terms of gender: head(scltotal) pbnr dat dep dys sop ago mis age female messpunkt2 messpunkt1 tage eintrittsjahr 1 10023 1994-02-21 0.75 1.00 0.50 0.50 0.75 35 1 8817 8817 0 1994 2 10023 1994-05-25 0.75 1.00 0.50 0.50 0.75 35 1 8910 8817

Hello all, I have used describeBy to generate the following summary statistics. I simply need x and y error bars on a plot that has CQN (xaxis) and Price (yaxis). There should be four total points on the graph (one for each supplier). Using "error.crosses(desc$CQN, desc$Price)" does not work. group: a vars n mean sd median trimmed mad min max range skew CQN

Hi, Try either: tolerance <- read.csv("http://www.ats.ucla.edu/stat/r/examples/alda/data/tolerance1.txt") ?aggregate(exposure~male,data=tolerance,mean) ?# male exposure #1??? 0 1.246667 #2??? 1 1.120000 #or ?library(plyr) ?ddply(tolerance,.(male),summarize,exposure=mean(exposure)) #? male exposure #1??? 0 1.246667 #2??? 1 1.120000 #or

Hello all, I have used describeBy to generate the following summary statistics. I simply need x and y error bars on a plot that has CQN (xaxis) and Price (yaxis). There should be four total points on the graph (one for each supplier). Using "error.crosses(desc$CQN, desc$Price)" does not work. group: a vars n mean sd median trimmed mad min max range skew CQN

HI Greg, Sorry, I misunderstand your question. I am not sure whether it works with numSummary() from library(Rcmdr). You could use other ways, such as: test<-read.table(text=" ?id year incidents ?100??? 1??????? 0 ?101??? 1??????? 1 ?102??? 1??????? 21 ?100??? 1??????? 27 ?101??? 1??????? 3 ?102??? 1??????? 12 ?100??? 2??????? 5 ?101??? 2??????? 5 ?102??? 2??????? 19 ?100??? 2??????? 10