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Hello there, I don't know if I'm addressing my question to the right e-mail address, I hope I do. Actually I have a little problem concerning writing a code in R. I try to briefly sum up my problem. As you can see below, I created the functions "Equation1" and "Equation2" with some conditions. Equation1 <-function(x){ if

Hi again, I'd like to ask you a question again. I have a matrix like this: a <-matrix(c(1,2,3,4,5,6,7,8,9,10,11,12)) a [,1] [1,] 1 [2,] 2 [3,] 3 [4,] 4 [5,] 5 [6,] 6 [7,] 7 [8,] 8 [9,] 9 [10,] 10 [11,] 11 [12,] 12 Is there a proper way to change the dimensions of this matrix so that I'll get this as a result: [,1] [,2] [,3] [1,]

Hello everybody, I have a little problem in good old R. It is basically the following. I have this small database with 3 rows and the following columns: d1, d2, d3 and Highest d value - which selects the highest value from d1, d2, d3 in each row. d1 d2 d3 Highest d value 1 51.398426 39.111721 11.6086220 51.398426 2 4.057801

Hello there, I have a problem concerning bootstrapping in R - especially focusing on the resampling part of it. I try to sum it up in a simplified way so that I would not confuse anybody. I have a small database consisting of 20 observations (basically numbers from 1 to 20, I mean: 1, 2, 3, 4, 5, ... 18, 19, 20). I would like to resample this database many times for the bootstrap process with

Hello everyone, I'd like to ask you a question again, basically focusing on referring to different objects. Let's suppose we create the following databases this way: id <-c(1,1,1,1,1,1,1,1,1,1,2,2,2,2,2,2,2,2,2,2,3,3,3,3,3,3,3,3,3,3) a <-c(3,1,3,3,1,3,3,3,3,1,3,2,1,2,1,3,3,2,1,1,1,3,1,3,3,3,2,1,1,3) b <-c(3,2,1,1,1,1,1,1,1,1,1,2,1,3,2,1,1,1,2,1,3,1,2,2,1,3,3,2,3,2) c

Hello everyone, I'd like to ask you a question again, basically focusing on referring to different objects. Let's suppose we create the following databases this way: id <-c(1,1,1,1,1,1,1,1,1,1,2,2,2,2,2,2,2,2,2,2,3,3,3,3,3,3,3,3,3,3) a <-c(3,1,3,3,1,3,3,3,3,1,3,2,1,2,1,3,3,2,1,1,1,3,1,3,3,3,2,1,1,3) b <-c(3,2,1,1,1,1,1,1,1,1,1,2,1,3,2,1,1,1,2,1,3,1,2,2,1,3,3,2,3,2) c

Dear R-community, I'd like to ask you a question concerning R again. I try to keep this simple because I am not willing to confuse you at all. I have a little data frame which I have created the following way: a <-c(1,1,1,1,1,2,2,2,2,2,3,3,3,3,3,4,4,4,4,4,5,5,5,5,5,6,6,6,6,6) b <-c(1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30) df

Hi there, I have a huge dataframe containing 70,000 observations. I have filtered this dataframe (let it's name be "transformed_dataframe") as I wanted to select only those observations which are greater than or equal to 60,001 regarding the very first identity column. So I have a transformed dataframe now including 10,000 obeservations (from 60,001 - to 70,000) and if you send

Hello everybody, I have a data frame in R which is similar to the follows. Actually my real 'df' dataframe is much bigger than this one here but I really do not want to confuse anybody so that is why I try to simplify things as much as possible. So here's the data frame. id <-c(1,1,1,1,1,1,1,1,1,1,2,2,2,2,2,2,2,2,2,2,3,3,3,3,3,3,3,3,3,3) a

Hello there, I have a problem concerning bootstrapping in R - especially focusing on the resampling part of it. I try to sum it up in a simplified way so that I would not confuse anybody. I have a small database consisting of 20 observations (basically numbers from 1 to 20, I mean: 1, 2, 3, 4, 5, ... 18, 19, 20). I would like to resample this database many times for the bootstrap process with

Hi, I'd like to ask you a question again. It is basically about data frames, NAs and tabulate function. I have this data frame. I already used this in one of the previous questions of mine. It intentionally looks this simple, my real 'df' dataframe is much bigger actually and again, I am not willing to annoy anyone with huge databases... So, my database: id

Hi, I am using the quantile function currently and I have just bumped into a little problem. I have a very small data frame something like this: small_df <- c(7,3,4,7,1,10,12,1,12,4,4,8,6,11,9,10,4,13,3,9,6,5,2,10,7,14,2,7,10,10,7,8,2,11,3,10,11,3,11,14,12,7,6,11) small_df Now in the next step I would like to calculate the quantile value of the previous data frame at the probability of 95%

Hello, I'd like to ask you something again. I have a database and it has a column which looks like this one here: small_factor <- factor(c("d_variable1","d_variable2","d_variable3")) small_factor Now the thing is that I would like to convert each element of this factorized column. Basically I want to rewrite the words in it without the first two characters:

Hi, MS AD feature the GlobalNames DNS zone. Is there the same feature in Samba AD (with bind9 DLZ)? ifeher Ez az e-mail és bármely melléklete kizárólag a címzettnek szól. A címzett személyes adatait a küldő fél a www.e77.hu oldalon ITT elérhető adatkezelési tájékoztatóban foglaltak szerint kezeli. Az ott leírtak szerint ön jogosult tiltakozni személyes adatainak kezelése ellen. A jelen

Fresh Ubuntu 13.10 server build with all the latest patches, installed Xen 4.3 and XCP-XAPI. Got Xenbr0 working properly and created an LVM storage repository and a CIFS ISO repository. I can create VM''s no problem at all but whenever I try to start them I get the following error from the log. Only Windows VM. The error comes up almost instantly when trying to start it. Not sure where to

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 All. Just in then case if anyone is using some old piece of hardware like the ibm x440, I could successfully run xen 4.2.3 on it. I have a working kernel .config and a set of xen boot parameters, along with some tuneups in the x440''s BIOS. The problem was quite complex (irq handling pci bus problems, ethtool magics, etc). Occasionally (once

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...ificació, retransmissió, difusió o altre ús d'aquesta informació per persones o entitats diferents a la persona a la que va dirigida està prohibida. Si vostè l'ha rebut per error, si us plau contacti amb el remitent i esborri el missatge de qualsevol ordinador. En el cas que aquest missatge vagi a ser contestat per la mateixa via, ha de saber-se que la seva resposta podria ser coneguda per tercers a l'entrar a la xarxa. Per això, si el missatge inclou contrasenyes, números de targetes de crèdit o qualsevol altra informació que vostè consideri confidencial, seria més segur contestar per...

...ificació, retransmissió, difusió o altre ús d'aquesta informació per persones o entitats diferents a la persona a la que va dirigida està prohibida. Si vostè l'ha rebut per error, si us plau contacti amb el remitent i esborri el missatge de qualsevol ordinador. En el cas que aquest missatge vagi a ser contestat per la mateixa via, ha de saber-se que la seva resposta podria ser coneguda per tercers a l'entrar a la xarxa. Per això, si el missatge inclou contrasenyes, números de targetes de crèdit o qualsevol altra informació que vostè consideri confidencial, seria més segur contestar per...

...sió, difusió o altre ús > d'aquesta informació per persones o entitats diferents a la persona a la > que va dirigida està prohibida. Si vostè l'ha rebut per error, si us > plau contacti amb el remitent i esborri el missatge de qualsevol > ordinador. En el cas que aquest missatge vagi a ser contestat per la > mateixa via, ha de saber-se que la seva resposta podria ser coneguda per > tercers a l'entrar a la xarxa. Per això, si el missatge inclou > contrasenyes, números de targetes de crèdit o qualsevol altra informació > que vostè consideri confidencial, seria més...