similar to: nested if else statements

I note that "current implementations of R use 32-bit integers for integer vectors," but I am working with large arrays that contain integers from 0 to 3, so they could be stored as unsigned 8-bit integers. Can R do this? (FYI -- This is for storing minor-allele counts for genetic studies. There are 0, 1 or 2 minor alleles and 3 would represent missing.) It is theoretically possible

I'm new to R (previously used SAS primarily) and I have a genetics data frame consisting of genotypes for each of 300+ subjects (ID1, ID2, ID3, ...) at 3000+ genetic locations (SNP1, SNP2, SNP3...). A small subset of the data is shown below: SNP_ID SNP1 SNP2 SNP3 SNP4 Maj_Allele C G C A Min_Allele T A T G ID1 CC GG CT AA ID2 CC GG CC AA ID3 CC GG nc AA

Hello list, I want to make a large rulebased algorithm, to provide decision support for drug prescriptions. I have defined the algorithm in a function, with a for loop and many if statements. The structure should be as follows: 1. Iterate over a list of drug names. For each drug: 2. Get some drug related data (external dataset). Row of a dataframe. 3. Check if adaptions should be made to

Dear R-community, my data set looks like 'mat' below. Plant<-c(NA,1,1,1,NA,NA,NA,NA,NA,1); Value1<-rnorm(1:10); Value2<-rnorm(1:10); mat<-cbind(Plant,Value1,Value2); I receive data from two different sites. One site is identified by an interger number, the other site has no data in column Plant=NA. My pb: I'm trying to assign labels "A" or "B" to

Hi, I am trying to reconcile anova table in R (summary(lm)) with individual t.test. datafilename="http://personality-project.org/R/datasets/R.appendix1.data" data.ex1=read.table(datafilename,header=T) #read the data into a table summary(lm(Alertness~Dosage,data=data.ex1)) gives: Call: lm(formula = Alertness ~ Dosage, data = data.ex1) Residuals:    Min     1Q Median     3Q    Max

Dear r-help, I'm interested in finding a better way to add a column to a data frame when calculating the new column requires more than one conditional. For example, if I wanted to associate a character string in {"Pos","Neg","Zero"} with each number in the following data frame: > d <- data.frame(num = -2:2) > d num 1 -2 2 -1 3 0 4 1 5 2 I

Hi, I've been struggling most of the morning with an IF ELSE problem, and I wonder if someone might be able to sort me out. Here's what I need to do (dummy example, my data are more complicated): If type = A or B or C and status = a then count = 1 and status = b then count = 2 and status = c then count = 3 Else if type = D or E or F and status = a then count = 9

Hello R users, I am a fairly new R user, however, one of the problems I am having is the use of applying if-, and-, then-, else- statements in R against datasets & dataframe. Rtips mentions it, but without simple examples I am not quite sure what my syntax should look like. I am particularly interested in syntax that can be used with the transform function. for example if foo[,1] ==

Dear R experts, I have again a problem. Let I have a data frame like below: x y ---------- A A A B B B A B where x and y are the column names. I want to create a new column z where it is elements will be like that, if at each row has there at least one 'B', then z will have value of B, if not then Z will have missing value(NA) for the corresponding row. So my result data frame should be

Hello, I'm doing some scripting and I've noticed that R doesn't seem to have an if (cond){ do }ifelse (cond) { do } else { do } type block. Is this correct or am I missing something. THX Paul -- Research Technician Mass Spectrometry o The / o Scripps \ o Research / o Institute

*Combining 2 columns into 1 column many times in a very large dataset* The clumsy solutions I am working on are not going to be very fast if I can get them to work and the true dataset is ~1500 X 45000 so they need to be efficient. I've searched the R help files and the archives for this list and have some possible workable solutions for 2) and 3) but not my question 1). However, I include

Hi R-helpers, I am trying to use this ifelse statement to recode a variable: > data$SOCIAL_STATUS<-ifelse(data$SOCIAL_STATUS=="B" & data$MALE>4, "C", "B") (i.e., if social status is B and there are more than 4 males, then recode social status to C; otherwise, leave it B) But, it's not working. See the below R output. Notice that there were 71

Hi guys, My code (next 2 lines below) isn't doing what I'm expecting it to: tmp <- ifelse(uncurated$days_to_tumor_recurrence=="null","norecurrence","recurrence") curated$recurrence_status <- tmp I want the column "recurrence_status" in my output file to have values "recurrence" (if the input value had a number in the

Hi all, It seems like I cannot use normal 'if' for data frames. What would be the best way to do the following. if data$col1='high' data$col2='H' else if data$col1='Neutral' data$col2='N' else if data$col='low' data$col2='L' else #chuch a warning? Note that col2 was not an existing column and was newly assigned for this

Hi people, I have made some progress trying to work out how to solve this problem but I have got a bit stuck - sorry if this turns out to be a simple exercise . . Allelic Differentiation (AD) in genetics measures the number of different alleles between (say) two populations eg: Organisms in Pop 1 have alleles: a, b, c, d, e Organisms in Pop 2 have alleles: b, b, c, d, e Different

Hello, I am trying to create a new vector (w) that is based on comparing two vectors (P and Z). The compaison is simple (I created a for loop that reassigns w based on if statement), all Z values >= 24 and P values <=1, w=88 else w=77. I am not getting the correct results for w, see example code below. Any thoughts or suggestions on the correct method. Thank you, Doug P <-

Hello, I am doing a simple if else statement in R. But it always comes out error such as 'unexpected error' There are two variables. ini and b. when ini=1, a=3; when ini>1 and b>2, a=5; all other situations, a=6. I don't know where it is wrong. Here is my code ini=3 b=4 if (ini==1) { a=3 } else if (ini>1 and b>2 ) { a=5 } else {a=6} Thanks a

Hello All, I am trying to create a column of weights based off of factor levels from another column. I am using the weights to calculate L scores. Here is an example where the first column are scores, the second is my "factor" and the third I want to be a column of weights. I can do what I want with an ifelse statement (see below), but I am wondering if anyone knows of a cleaner way

Hi, I'm scratching my head as to why I can't use the subset() command to remove one line of data from a data frame. There is just one row (out of 45840) that I'd like to remove and it can be identified using.... > dim(raw.all.clean) [1] 45840 10 > subset(raw.all.clean, Height.1 == 0 & Height.2 == 0) Sample.Name Well SNP Allele.1 Allele.2 Size.1 Size.2

Hi, there I am a grad student struggling to get my syntax right in a model I am building in R. I am trying to specify a variable,W, in a loop, such that on the first iteration, it is equal to Wo, my starting value, which I have already specified with Wo<-9.2 On any other iteration other than the first, I want W to equal the previous value of W in the iteration. plus an increment from