similar to: save data to an R object

Hello, I have a nested named list structure, like the following: x <- list( list( list(df1,df2) list(df3, list(df4,df5)) list(df6,df7))) with df1...d7 as data frames. Every data frame is named. Is there a way to get a specific named element in x? so, for example, x[[c("df5")]] gives me the data frame 5? Thank you in advance! Best, Friedericksen

Dear all, I am new R user and I am sure that this question has been asked quite often and I have also googled it and read about it! I understood that in order to read excel sheet into R you need to open it and saved it as csv or text, is this true? or you can use read.delim2 and read.csv2 to do this without the following error > dat <- read.csv2(file="C:\\Dokumente und

Dear users, My problem concerns save() within a for loop. Here is my code: for (i in 1:4) { temp <- data.frame(a=(i+1):(i+10), b=LETTERS[(i+1):(i+10)]) filename <- paste("file", i, sep="") assign(filename, temp) save(filename, file=paste(filename, ".rda", sep="")) } As you can see, save() doesn't work as I would like: (1) the object

I'm new to R. I'm extracting important columns from single table using following code: File2<-"file.txt" table2<- read.delim(File2, skip=19, sep=";", header=F, na.strings=NA, fill=T) #extracting column 7 where rows match "ID" col1<- table2[grep("ID", table2[,1]),7] #similarly extracting column 9,11,13,15 col2<-

Hello, I have a data set which is similar to the following data mice <- rep(letters[1:4],10) outcome <- sample(c(0,1),length(mice),replace=T) group <- c(rep("A",length(mice)/2),rep("B",length(mice)/2)) my.data <- data.frame(mice,outcome,group) my.sort.data <- my.data[order(my.data[,1]),] I would like to test wether there is a different between group A and B

I have a data frame 'tmp' and a vector 'name' containing 'd2'. I want to save 'tmp' under the name hidden in 'name', and the file must have the same name, plus the extension '.rda'. So I try > tmp x y 1 1 3 2 2 4 > name [1] "d2" > assign(name, tmp) > summary(get(name)) x y Min. :1.00 Min. :3.00 1st

Dear R helpers, I have one trivial problem while writing an output file in csv format. I have two dataframes say df1 and df2 which I am reading from two different csv files. df1 has column names as date, r1, r2, r3 while the dataframe df2 has column names as date, 1w, 2w. (the dates in both the date frames are identical also no of elements in each column are equal say = 10). I merge these

Hi everybody. I'll first explain my problem and what I'm trying to do. Admit this example: I'm working on 5 different weather stations. I have first in one file 3 of these 5 weather stations, containing their data. Here's an example of this file: DF1 <- data.frame(station=c("ST001","ST004","ST005"),data=c(5,2,8)) And my two other stations in

Hello, I have to compute the pooled z-value and I would like to know which way is more appropriate b <- c( -0.205,1.040,0.087) s <- c(0.449,0.167,0.241) n <- c(310, 342, 348) z <- b/s Z <- sum(z)/sqrt(length(n)) P <- 2*(1-pnorm(abs(Z))) P w <- sqrt(n) Zw <- sum(w * z)/sqrt(sum(w^2)) Pw <- 1 - pchisq(Zw * Zw, 1) Pw Many thanks in advance, Cheba [[alternative HTML

Hi, if I have a dataframe such that ID Time  Earn 1        1        10 1        2        50 1        3        68 2        1        40 2        2        78 2        4       88 3        1        50 3        2        60 3        3        98 4        1        33 4        2        48 4        4       58 ..... .... ..... Now if I have to select the all the rows from the data frame which does not

Dear users, I would like to process all the lists from all *.rda files that I have in one folder. Up to now, I can load all the *.rda files without any problem. The problem is when I want to access the list saved within each *.rda file (only one list per rda file). Here is my code: fpath <- "D:/R" listnames <- list.files(path=fpath, pattern=glob2rx("*.rda"),

Hello R users, I've used the following help two compare two regression line slopes. Wanted to test if they differ significantly: Hi, I've made a research about how to compare two regression line slopes (of y versus x for 2 groups, "group" being a factor ) using R. I knew the method based on the following statement : t = (b1 - b2) / sb1,b2 where b1 and b2 are the two slope

Dear all, What is the right test to test whether the median of two groups are statistically significant? Is it the wilcox.test, mood.test or the ks.test? In the text book I have got there is explanation for the Wilcoxon (Mann Whitney) test which tests ob the two variable are from the same population and also ks.test! Regards, Cheba [[alternative HTML version deleted]]

Hello, I am using library(gplots) to do something like data(state) x1 <- state.area/10000 x2 <- x1+round((rnorm(length(state.area),3,3))) plotmeans(x1 ~ state.region) Is it possible to plot x2 to x1 in the same graph, something like: linesmeans(x2 ~ state.region) Best wishes, Cheba [[alternative HTML version deleted]]

Dear all, I am doing library(survival) fit <- coxph(Surv(futime,fustat) ~ rx, ovarian) plot(survfit(fit,newdata=ovarian),col=c(1,2)) legend("bottomleft", legend=c("rx = 0", "rx = 1"), lty=c(1,2),col=c(1,2)) Is this correct to compare these two groups? Is the 0.31 the p-value that the median f two groups are equal Why lty does not work here? Many thanks

Dear all, I have a four variable: Stuy.Name, OR, 95%LCI and 95%UCI and I would like to create a meta analysis plot. I can't use meta.MH function in metaplot because I do not have n.trt, n.ctrl, col.trt, col.ctrl are not available! Is there an alternative way to do it? Many thanks in advance, Cheba [[alternative HTML version deleted]]

Hi, I have a data frame with 100 variables (numeric and non numeric types), and I want to join them in only one column, like a vector, but i want to keep the non numeric variables like they are. I know that i can do something like this: Suppose that my data is in df variable new_df<-data.frame(c(df[,1],df[,2],df[,3],df[,4],...........) This works but i have 100 variables! Any way of doing

Dear R helpers, I know R language at a preliminary level. This is my first post to this R forum. I have recently learned the use of function and have been successful in writing few on my own. However I am not able to figure out how to apply the function to multiple sets of data. # MY QUERY Suppose I am having following data.frame df = data.frame(k = c(1:8), ratings = c("A",

there is a data frame £¬x weekly.returns 2010-1-4 -0.015933327 2010-1-11 -0.015042868 2010-1-18 0.005350297 2010-1-25 -0.049324703 2010-2-1 -0.052674121 when i input colnames(data)[1] <- 'date' it becomes date 2010-1-4 -0.015933327 2010-1-11 -0.015042868 2010-1-18 0.005350297 2010-1-25

Hi all, I have a dataframe (df1) that I am trying to select values from to a second dataframe that at the current time is only for the selected items from df1 (df2). The values that I am trying to save from df1 are factors with alphanumeric names df1 looks like this: 'data.frame': 3014 obs. of 13 variables: $ Num : int 1 1 1 2 2 2 3 3 3 4 ... $ Tag_Num : int 1195