similar to: making changes to global variables in functions

Hello, I'm trying to fminimize the following problem: You have a data frame with 2 columns. data.input= data.frame(state1 = (1:500), state2 = (201:700) ) with data that partially overlap in terms of values. I want to minimize the assessment error of each state by using this function: err.th.scalar <- function(threshold, data){ state1 <- data$state1 state2 <- data$state2

Hi, I want to remove the entire row from the dataset if any of the row contains blank or NA my dataset look like State Year Y X2 X3 X4 X5 X6 State1 1960 27.8 397.5 42.2 50.7 78.3 65.8 State2 1960 29.9 413.3 38.1 52 79.2 66.9 State1 1961 29.8 439.2 40.3 54 79.2 67.8 State2 1961 30.8 459.7 39.5 79.2 69.6 State1 1962 31.2 492.9 37.3 54.7 77.4 68.7 State2 1962 528.6 38.1 80.2 73.6 State1 1963

Hi I have records like like this X1 X2 State 34 72 state1 9 63 state1 49 31 state1 60 34 state1 80 73 state1 60 20 state2 59 87 state2 88 20 state2 71 66 state2 65 56 state2 59 16 state1 60 100 state2 I want to get the summarize value like mean median histogram for X1 and X2 based on state. I'm using FOR loop for this. Is there any method to remove for loop and use apply or any

Having problems with STI. Names below have been changed to protect the innocent. Imagine a system that allows someone to apply for one of two different types of school scholarships. Each scholarship goes through a different review process, represented by a state machine (this is not a state machine question). So there are two state machine classes that differ slightly and subclass a generic

Deare R users I am new to R. What I want to do is explained below;- I have table called States.Prob which is given below:- This table gives the probabilities of the changes in the swap curve depending on the state of the swap curve. I want to put these probabilities in my dataframe mydata(given after the prob table). Prob of States Changes State1 State2 State3 State4 a

Deare R users I am new to R. What I want to do is explained below;- I have table called States.Prob which is given below Prob of States Changes State1 State2 State3 State4 A Pa1 Pa2 Pa3 Pa4 B Pb1 Pb2 Pb3 Pb4 C Pc1 Pc2 Pc3 Pc4 D Pd1 Pd2 Pd3 Pd4 and I have a dataframe called

Greetings all, I have two sets of data that I would like to investigate. The first is gene/genome related data given different 'cell-states'. The second set of data is relates the genes to a biological pathway. /(I think in pictures so here goes.)/ *dataframe1* gene, cell-state1, cell-state2 gene1, x1, y1 gene2, x2, y2 gene.x, ..., ... *dataframe2* pathway1, gene-x1, gene-x2, ...

Dear all, my problem is following. I know Stata, but currently I have to use R. Could You please help in finding the analogy to R. (1) creating of City-Dummy. I know in Stata: g byte city=0 replace city=1 if city==12&year==2000 and (2) Create a Time-Dummy-Variable g byte T2000=0 replace T2000=1 if year==2000 (3) I need the City DUmmy for the following combination: I have the

Hi, I'm sure this is simple, but I haven't been able to find this in TFM, say I have some data in R like this (pasted here: http://pastebin.com/raw.php?i=sjS9Zkup): > head(df) gender age smokes disease Y 1 female 65 ever control 0.18 2 female 77 never control 0.12 3 male 40 state1 0.11 4 female 67 ever control 0.20 5 male 63 ever state1 0.16

On 02/10/2018 06:00 AM, r-help-request at r-project.org wrote: > Did you check the gradient? I don't think so. It's zero, so of course > you end up where you start. > > Try > > data.input= data.frame(state1 = (1:500), state2 = (201:700) ) > err.th.scalar <- function(threshold, data){ > > state1 <- data$state1 > state2 <- data$state2 >

Dear All, I have a question of how to export S4 class specification to clusters/workers in parallel computing. The package I used is snowfall. The problem is reproducible as follows. Any hint is greatly appreciated. Edwin Sun === begin =========== library(snowfall) sfInit(parallel = TRUE, cpus = 2) setClass("catt", representation(aa = "numeric")) setClass("dogg",

Dear Users This is my dataset called mydata4. I want to sort the dataframe on the first column PxMid which is basically a column with dates. I've tried mydata4<-mydata4[order(mydata4$PxMid),] but it doesnt work. Could it be because these are dates? Please help I'm really stuck !! Thank you for your time. Regards Meenu PxMid EU0006MIndex.x DMSW1Curncy.x DMSW2Curncy.x DMSW3Curncy.x 1

rsync -e 'ssh -x' --log-format="%o /%n %b" -tLr --delete --files-from=files-to-sync --exclude-from=files-to-exclude user@host:/ /temp/ del. /etc/mail/spamfilter/mx1/whitelist.conf 0 del. /etc/mail/spamfilter/mx1/blacklist.conf 0 recv /etc/mail/spamfilter/mx1/ 0 recv /etc/mail/spamfilter/mx1/blacklist.conf 211 recv /etc/mail/spamfilter/mx1/whitelist.conf 924 Why does rsync

Hi, I have two data sets look like below: ========================== state count1 percent1 CA 19 0.34 TX 22 0.35 FL 11 0.24 OR 34 0.42 GA 52 0.62 MN 12 0.17 NC 19 0.34 state count2 percent2 FL 22 0.35 MN 22 0.35 CA 11 0.24 TX 52 0.62 ========================== How to combine these two data set and make it look like below?

I saw different specifications for Random Effects and I'm confused about the use of "/" and the use of "(0+...|)" . Let say we have a nested structure where some countries have some several plants in different states and we measure the reaction to a drug. The list of Countries = USA, France, Italy The States for USA = Michigan, Florida, California The States for France

I'm trying to create maps of reptile abundance in different states & counties using data from Herp.net, which provides lists of specimens with the places that they were found. First I would like to parse the list by state using 2-letter abbreviations, since I'm focusing on certain regions. To do this, I've been trying to create a vector (state2) that gives all state names as

Dear R Users I'm writing my first simulation in R. I've put across my problems with a smaller example in the attachment along with the questions. Please help. Best regards Meenu -------------- next part -------------- mydat<-read.table(textConnection("Level spread change State 4.57 1.6 BlF NA 4.45 2.04 BrS NA 3.07 2.49 BlS NA 3.26 -0.26 BlF NA 2.80 0.22 BrF NA 3.22 2.5 BrS NA

No its not an or condition. Please see the changed attachment. Many thanks for your help. Regards Meenu On Wed, Aug 5, 2009 at 6:36 PM, David Winsemius <dwinsemius at comcast.net>wrote: > > On Aug 4, 2009, at 2:12 PM, Meenu Sahi wrote: > > Dear R Users >> >> I'm writing my first simulation in R. >> I've put across my problems with a smaller example

I'm running an LSODA to generate some graphs, but I need to stop at a certain point and use those values to generate another LSODA output. This is working fine, but when I try to run the second LSODA, I get the "Error in eval(expr, envir, enclos) : object 'N' not found". Any ideas what can be causing this? I have no object 'N' anywhere in the script. I made an

I'm trying to use the speex API, and I think I'm missing something. I'm running on Mac OSX Tiger, and the attached microphone is a iSight. If I call the "speex_encode_int" function, and then immediately call the "speex_decode_int" function, shouldn't I get back the same data? i.e. in my example code, shouldn't the two arrays contain at least similar