similar to: rbind

how to add value on the bar ploted by barplot()? and the axis label is too big, anyone know how to change their font , thanks -- Xiaogang Yang Sensorweb Research Laboratory http://sensorweb.vancouver.wsu.edu/ Washington State University Vancouver [[alternative HTML version deleted]]

Hi, everyone: I am plotting an graph with bar plot, but the label after every bar is too long, I wanna if I can draw the label lean to an angle thanks -- Xiaogang Yang Sensorweb Research Laboratory http://sensorweb.vancouver.wsu.edu/ Washington State University Vancouver [[alternative HTML version deleted]]

I have a problem, everytime I plot in pdf, I could only draw in one page, does anyone know how to generate more than one page for example, I have 10 pics to plot in pdf, each page only could be plotted 5 pics, so how can I generate just one pdf of 2 pages, instead of two pdf Thank you -- Xiaogang Yang Sensorweb Research Laboratory http://sensorweb.vancouver.wsu.edu/ Washington State

I use barplot to plot graph, and there is axis of y, but no x, just label, so where to add x-axis in barplot. -- Xiaogang Yang Sensorweb Research Laboratory http://sensorweb.vancouver.wsu.edu/ Washington State University Vancouver [[alternative HTML version deleted]]

I am trying to use rbind to have the two data on the top of each other but I am getting an extra X on the column header and the rows are numberd , How to get rid of this problem? I appreciate your help x1<- read.table(file="data1.txt", header=T, sep="\t") x2<-read.table(file="data2.txt", header=T, sep="\t") y<-rbind(x1,x2) > y X0

Hi, I'm trying to take a matrix such as [,1] [,2] [,3] [,4] [,5] [1,] 2 7 2 7 9 [2,] 10 10 6 8 6 [3,] 1 9 7 2 0 and generate a new matrix which contains only the unique values in each row: [,1] [,2] [,3] [,4] [,5] [1,] 2 7 9 NA NA [2,] 10 6 8 NA NA [3,] 1 9 7 2 0 My problem is that I can use

Hi: I am a new R user. I have the following question and would appreciate your input Data1 (data frame 1) p1,d1,d2 (p1 is text and d1 and d2 are numeric) xyz,10,25 Data2 (data frame 2) p1,d1,d2 xyz,11,15 Now I want to create a new data frame that looks like so below. The fields d1 and s2 are summed by the product key. Data3 p1,d1,d2 xyz,21 (sum of 10 from Data1 and 11 from Data2),40 (sum of 25

Hello I have 2 datasets say Data1 and Data2 both are of different dimesions. Data1: 120 rows and 6 columns (Varname, Vartype, Labels, Description, ....) The column Varname has 120 rows which has variable names such id, age, gender,.....so on Data2: 12528 rows and 120 columns The column names in this case are V1, V2, ......... V120 (which are default names in R when we say head=F in read.csv)

I have a dataframe with many firm-year observations and many variables. Not all firms have information for all the years. I want another dataframe with only those firms that have information all years. This is, I want a balanced panel data, but with the maximum number of years. In my reprocucible example I want to keep firms 1,2 and 3 (period 2000 to 2004). I need your help to create a

Buenas tardes a todos los participantes del foro. Me dirijo a vosotros porque estoy atascado con una duda de programación respecto al data frame: > dd # Data frame de 5 variables, leído de un archivo txt id sexo nacim origen final 1 1 0 02/09/1955 01/04/1985 01/02/2014 2 2 1 29/10/1951 15/08/1996 01/05/2009 3 3 0 30/10/1942 02/08/2000 01/02/2014 4 4 1

"The R Inferno" is now on the Burns Statistics website at http://www.burns-stat.com/pages/Tutor/R_inferno.pdf Abstract: If you are using R and you think you're in hell, this is a map for you. Also, I've expanded the outline concerning R on the Burns Statistics 'Links' page. Suggestions (off-list) for additional items are encouraged. Patrick Burns patrick at

hello, I would like to create the following barplot: I have 4 different data sets (same length + stddev for each data point) data1 sd1 data2 sd2 data3 sd3 data4 sd4 now, I'd like to plot in the following way: data1[1],data2[1],data3[1],data4[1] with it's sd-values side-by-side at one x-axis label (named "position 1") and each bar in different colors.

Dear colleague, I not sure this R code is correctly ? I would to show the number of Sample Size at Sample Size Axis that line draw from Power Axis (80%) from R code. How I show this and select the most appropriate of this power (.79955687 - 80983575). Thank for your help and answer. Best Regards, Nikom Thanomsieng, Email: nikom at kku.ac.th .... #Power analysis: Sample size for

Hi I want to add a row to a "data.table" in each round of a for loop. "rbind" seems to be a inefficient way to implement this. How would you do this? The "slow" solution: library(data.table) Rprof("test.out") dt <- data.table() for (i in (1:10000)) { # algorithm that generates a list with different values, # but same key-names, each round, for

Anyone got any hints on how to make this code more efficient? An early version (which to be fair did more than this one is) ran for 330 hours and produced no output. I have a two column table, Dat, with 12,000,000 rows and I want to produce a lookup table, ltable, in a 1 dimensional matrix with one copy of each of the values in Dat: for (i in 1:nrow(Dat)) { for (j in 1:2) { #If next

Hi R-helpers, My real data is a panel (unbalanced and with gaps in years) of thousands of firms, by year and industry, and with financial information (variables X, Y, Z, for example), the number of firms by year and industry is not always equal, the number of years by industry is not always equal. #reproducible example firm1<-sort(rep(1:10,5),decreasing=F) year1<-rep(2000:2004,10)

I large datset that includes subjects(ID), Dates and events that need to be counted.  Not every date includes an event, and I need to only count one event per 30days, per subject.  So in essence, I need to create a 30-day "black out" period during which time an event cannot be "counted" for each subject.  The reason is that a rule has been set up, whereby a subject can only be

Dear list; How can I speed up the run of following code (illustrative) #======================================================================== con<-vector("numeric") for (i in 1:limit) { if(matched data for the ith item found) { if(i==1) {con<-RowOfMatchedData } else {con<-rbind(con,matchedData)} } }

Hello! I am optimizing my code in R and for this I need to know a bit more about the internals. It would help tremendously if someone could link me to a page with O()-complexities of all the operations. In this particular case, I need something like a linked list with O(1) insertLast/First ability. I can't preallocate a vector since I do not know the final size of the list ahead of time. The

Hi, All I have a problem of R memory space. I am getting "Error: cannot allocate vector of size 198.4 Mb" ------------------------------ I've tried with: > memory.limit(size=2047); [1] 2047 > memory.size(max=TRUE); [1] 12.75 > library('RODBC'); > Channel<-odbcConnectAccess('c:/test.MDB'); # inputdata:15 cols, 2000000