similar to: bind tables

Hello, It's an alternative to use SAS by function in R? I want to plot d histograms by plot.from example bellow: Thank you! plot d 1 1 16.3 2 1 25.0 3 1 57.8 4 1 17.0 5 2 10.8 13 2 96.4 17 3 76.0 18 3 32.0 19 3 11.0 20 3 11.0 24 3 106.0 25 3 12.5 21 4 19.3 22 4 12.0 26 4 15.0 27 5 99.3 32 7 11.0 36

Hello everybody. I have a question that has stumped me and the usual "apply" tricks don't seem to work. I run a course where each student's performance is marked by one or more assessors. I have a data frame containing students' names, assessors' names and their marks, arranged as follows: ID student assessor Q1A Q1B Q1C Q2A Q2B Q3 1 2152833

Dear List-members, I found a strange behaviour in the lqs function. Suppose I have the following data: y <- c(7.6, 7.7, 4.3, 5.9, 5.0, 6.5, 8.3, 8.2, 13.2, 12.6, 10.4, 10.8, 13.1, 12.3, 10.4, 10.5, 7.7, 9.5, 12.0, 12.6, 13.6, 14.1, 13.5, 11.5, 12.0, 13.0, 14.1, 15.1) x1 <- c(8.2, 7.6,, 4.6, 4.3, 5.9, 5.0, 6.5, 8.3, 10.1, 13.2, 12.6, 10.4, 10.8, 13.1, 13.3, 10.4, 10.5, 7.7, 10.0, 12.0,

Hi, I am very new to R and I've been trying to work through the R book to gain a better idea of the code (which is also completely new to me). Initially I imputed my data from a text file and that seemed to work ok, but I'm trying to examine linear relationships between gdist and gair, gdist and gsub, m6dist and m6air, etc. This didn't work and I think it might have something to do

Hi all, I'm using dovecot since a few months and it works great. But a few days ago some coworkers mentioned that they got errormessages in their Mailapp. I searched in the logfiles and found this: Sep 14 12:07:35 Mailserv dovecot: IMAP(eckhard-ma-domain-com): fsync(/home/eckhard-ma-domain-com/mails/.INBOX.0002-Druckangebote von Druckereien.0002-schmerk

Hi, I have designed the following function to extract count frequencies from an array of integers. For example... # Tipical array x <- cbind(1,1,1,1,1,2,2,2,2,3,3,3,3,4,5,6,7,22) # Define the frequency function frequency <- function(x){ max <- max(x) j <- c() for(i in 1:max){ j[i] <- length(x[x==i]) } return(j) } fre <- frequency(x) plot(fre) How

Dear R users, A have a dataframe (matrix) with two collumns (plot, and diameter (d)). I want all diameters values for different combination of plots. For example I want all d values for all posible combination, 100C2 (all d values for plot 1 with all d values in the plot 2.......with all d values from plot 1 with all d values from plot 100, ...... with all d values from plot 99 with all d values

Ok Guillaume, It is Megatec protocol. It sends Q1<cr> and answers with (227.2 227.2 227.2 038 50.1 13.5 25.0 00001001<cr> And if you check http://eu1.networkupstools.org/protocols/megatec.html it matches. And now, ho has time to code ? Kjell fre 2006-04-21 klockan 17:18 +0200 skrev Guillaume JAOUEN: > Hello, > > As I wish to help you the most I can in order to get a

Hi all! I tried to perform Shapiro-Wilk test for my sample of 243 values. > Us [1] -10.4 -13.1 -12.2 38.1 -18.8 -13.3 -11.7 29.3 49.7 6.8 12.7 16.3 [13] 5.8 -0.7 -29.4 4.1 38.8 -1.4 8.8 15.6 32.9 -5.3 19.1 35.8 [25] 4.0 -1.5 0.6 -4.2 -10.0 -4.0 1.1 48.9 -21.0 -5.3 5.8 -10.8 [37] 21.9 8.2 -3.2 -3.9 -2.3 12.6 -4.7 -8.0 11.8 27.4 -9.5 -20.8 [49]

I think there is a question in R. I donot know the reason. This is my data about comulative percentage figure. The result is not right. The first point (no=1,leiji=26.94350) in the plot figure was showen in a lower location. Why? Thanks ! > fre no leiji 1 1 26.94350 2 2 46.86401 3 3 60.59032 4 4 72.17355 5 5 77.85521 6 6 82.05853 7 7 85.56495 8 8 87.64378 9 9

Hello I would like to transfer some Splus functions in R. But I have a problem first about this assignation in Splus : xnom <- deparse(substitute(x)) I am a bad programmer : I don't understand the R help How to modify these functions ? Thank you very much for your help Here are the four functions and a data test

Hi I have a problem with samba 3.0.5pre1. Many of my users are disabled by samba and I can't find the reason why. Here is an example of an user disbled by samba: Unix username: christ NT username: christ Account Flags: [DU ] User SID: S-1-5-21-3371203057-3264423045-2392767973-4030 Primary Group SID: S-1-5-21-3371203057-3264423045-2392767973-1213

Hi all, I am trying to merge several data sets and end up with a long data format by date & time so I can run correlations and plots. I am using Deducer as an R GUI but can just use the R console if easier. The data sets are weather with wind speed, relative humidity and temperatures by date and minute and bat activity with date, time, label, and an activity index number. The bat

Dear All I am trying to graph a proportion and CI95% by a factor with ooplot (any other better solution ?) It works well until I try to add the confidence interval. this is the error message and and a description of the data: > dat1 PointEst TT1 1 3.6 TT2 2 5.0 TT3 3 5.8 TT4 4 11.5 TT5 5 7.5 TT5 6 8.7 TT7 7 17.4 > dat2

Hi, May be this helps: dat1<- read.table(text=" pbnr??????? dat? dep? dys? sop? ago? mis age female 1 10023 1994-02-21 0.75 1.00 0.50 0.50 0.75? 35????? 1 2 10023 1994-05-25 0.75 1.00 0.50 0.50 0.75? 35????? 1 3 10028 1994-02-01 2.00 1.75 3.00 0.50 1.50? 42????? 1 4 10028 1999-01-15 1.25 0.75 2.25 0.50 0.25? 42????? 1 5 10053 1994-03-16 2.50 0.75 1.25 0.50 1.25? 22????? 1 6 10053

Hi. > a [1] 13 13 14 14 15 15 16 20 21 26 > summary(a) Min. 1st Qu. Median Mean 3rd Qu. Max. 13.0 14.0 15.0 16.7 19.0 26.0 > mean(a) [1] 16.7 > quantile(a) 0% 25% 50% 75% 100% 13 14 15 19 26 Clearly, this is not right. My Instructor and I have no idea why the program does that. I removed the program from the computer , installed it

Hi all: Here's a question about result of loglinear analysis. There're 2 factors:area and nation.The raw data is in the attachment. I fit the saturated model of loglinear with the command: glm_sat<-glm(fre~area*nation, family=poisson, data=data_Analysis) After that,I extract the coefficients: result_sat<-summary(glm_sat) result_coe<-result_sat$coefficients I find that all the

Dear all, I am attempting to explain patterns of arthropod family richness (count data) using a regression model. It seems to be able to do a pretty good job as an explanatory model (i.e. demonstrating relationships between dependent and independent variables), but it has systematic problems as a predictive model: It is biased high at low observed values of family richness and biased low at

I have a dataframe with several different treatment variables, and would like to calculate the mean and standard deviation of the replicates for each day and treatment variable. It seems like it should be easy, but I've only managed to do it for one treatment at a time using subset and tapply. Here is an example dataset: > `exampledata` <- structure(list(day = c(1L, 1L, 1L, 1L, 1L,

My code below makes a data frame with columns for date, time, and price. Time on each date runs from 1 to 4. I'd like to add a new column "ts$closingprice", which would have the closing price for that date. To find the closing price, I'd like to take the price in the row having the greatest time value for each date. Then I'd like to fill that closing price into the