similar to: calasification table under conditions

Hi, I am trying to execute the following SQL statement using two data frames: tab1, tab2 : Two Tables Select tab1.*, tab2.*, tab1.tobiiTime - tab2.ruiTime as timeDiff, IFNULL(n-m, -9999999) as alwaysIncrement FROM tab1 LEFT OUTER JOIN tab2 On tab1.data1 - tab2.mouseX = 0 And tab1.data2 - tab2.mouseY = 0 I am trying to do the following in R:- *#Getting error here:* data

Hi, Let s be a dataframe. > s A B C 0 0 1 1 0 1 1 0 1 0 0 1 1 0 1 0 1 1 0 1 1 0 1 1 0 0 1 > tab1=table(s[,c(1,2)]) > tab1 B A 0 1 0 3 3 1 3 0 > tab2=table(s[,c(1,3)]) > tab2 C A 1 0 6 1 3 The problem is I need to access frequency corresponding to (0,0). tab1[1] will give me the correct value

HI Guy''s TAB1 and TAB2 have some radio button, checkbox and dropdown menu. When TAB1 is selected, I have to switch to TAB2 and then back to TAB1 to refresh the loaded content. How to make TAB1 refresh loaded content when click on its tab? *code is something like that* <ul class="tabs"> <li><a *href="#tab1"*>Gallery</a></li>

I have a big contingency table, approximately of size 60*2*500*500, and I need to count the number of cells containing a count of 1 for each of the factors values defining the first dimension. Here is my attempt: tab1<-with(pisa1,table(CNT,GENDER,ISCOF,ISCOM)) tab2<-apply(tab1,1:4,function(x)ifelse(sum(x)==1,1,0)) tab3<-apply(tab2,1,sum) Computing tab2 is very slow. Is there a faster

Hi all, how can I divide two tables of the same dimension so that all names are preserved, ie do not become NA? I have "tab1" and "tab2", each having names in the first column. I want "tab3" with the same names and values "tab1/tab2". Thanks, Serguei

Dear R experts, Might be very simple question to ask but would be insightful. As the same story of nested "for loops". following is the code that I am using to get the autocorrelation function of the sample data. I have tried to get rid of for loops but since I am touching R after such a long time that I need to practice more but I need help to revive my skills. I know that apply() or

Hi. I have 2 tables, with same dimensions (8000 x 5). Something like: tab1: V1 V2 V3 V4 V5 14.23 1.71 2.43 15.6 127 13.20 1.78 2.14 11.2 100 13.16 2.36 2.67 18.6 101 14.37 1.95 2.50 16.8 113 13.24 2.59 2.87 21.0 118 tab2: V1 V2 V3 V4 V5 1.23 1.1 2.3 1.6 17 1.20 1.8 2.4 1.2 10 1.16 2.6 2.7 1.6 11 1.37 1.5 2.0 1.8 13 1.24 2.9 2.7 2.0 18 I need generate a table of averages, the

Hi, I asked this question before, which was hidden in a bunch of questions. I repharse it here and hope I can get some help this time: I have 2 contingency tables which have the same group variable Y. I want to compare the strength of association between X1/Y and X2/Y. I am not sure if comparing p-values IS the way even though the probability of seeing such "weird" observation under H0

Good moorning, yesterday, i asked for how we can import data into R i found that it is necessary to make the file in csv format then use L<- read.csv2("path of file") now i see that the dimension of my table importing into R is 1 colonne (i have realy 20) and (655555) the number of all my lines in the excel file (i want to have only the 2600 lines in my table) Also, when i say to do

Dear R-List, I am very new to R and programming itself, so my question may be easy to answer for you. I tried a lot and read through the manuals, but I still have the following problem: I have 2 data-frames: Number<-as.numeric (Number) Name<-as.character (Name) TAB1<-data.frame (Name,Number) - it looks like this:- Name Number A 2 A 3 A 6 B 8 B 12 B 7 C 8 D 90 E 12 E 45 佲仸

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Dear R-help assistance; may you help me regrding to following inquiry!? you know what, i have generated three tables by xtable R function, right now i am trying to make a single table by putting these tables togethere; actully i am going to come upt with *.tex (latex) file. because i have more extera non-R material, i am using Sweave to read R instructions, and finally i hope to end up with a

I''m trying to change over from Rails 1.1.6 to 1.2.1 and have discovered that either something is wrong with Prototype of else something has changed that I am not aware of and cannot find documentation on. (I just joined this group, so if this has already been cussed and discussed here or in another list then please point me in the right direction.) I am trying to use the

Dear R users! I am using R Version 1.7.1, Windows XP, package "foreign" (Version: 0.6-1), SPSS 11.5.1. There is one thing I noticed with "read.spss", and I'd like to ask if this is considered to be a feature, or possibly a bug: When reading character columns, character strings seem to get filled with blanks at the end. Simple example: In SPSS, create a file with one

First a general comment on posting style, could you please be more specific about where the error occurs as without this it is very difficult to identify what the problem is. Now concerning your problem. When I tried the code I posted yesterday I thought it worked fine. I've tried it again now and found that the data.frame TAB3 actually only has one column and the names "A",

I have a dataframe with the following variables: idnum area gender race etc. I would like to make a table that looks like area gender race M F B W A 1 4 5 3 5 1 2 6 7 4 6 3 etc. Basically, I want to make a single broad table with a number of sub-set tables. I have tried: cbind(table(area, gender), table(area, race)) But, when I do this, I lose the labels gender / race. This makes it

Hi all, I have a problem to read csv file with comma as decimal. The numbers were readed as strings. I used the following string in R, but I do not understand why it does not work. tab <- read.csv2("Specimen_RawData_1.csv", header = TRUE, sep = ";", dec = ",", nrows = -1) In addition, I copy/past into the post the link to the csv file generated by my instrument.

Dear Sir, I got a problem with my program. I would like to classify my data using bagging support vector machine ensemble. I split my data into training data and test data. For a given data sets TR(X), K replicated training data sets are first randomly generated by bootstrapping technique with replacement. Next, Support Vector Mechine (SVM) is applied for each bootstrap data sets. Finally, the

Hi there, I have been using the example provided bellow for a while, and It was working without any problem. Nevertheless, just since 2-3 days is not working, probably because I did update.packages(). I have tried to re-install the older versions of the packages Hmisc() and xtable(), but still does not work. Can you run this example, and tell me if you got the same problems? I use

Dear R users, I have a data frame in the form below, on which I would like to make normality tests on the values in the ExpressionLevel column. > head(df) ID Plant Tissue Gene ExpressionLevel 1 1 p1 t1 g1 366.53 2 2 p1 t1 g2 0.57 3 3 p1 t1 g3 11.81 4 4 p1 t2 g1 498.43 5 5 p1 t2 g2 2.14 6 6 p1 t2 g3 7.85 I