similar to: dataframe, simulating data

Hi, I seemingly have a simple problem, but I've spend hours reading guides & posts on this forum and I can't seem to piece together what I need. I have a dataframe where I want to divide it into two subsets: a sample, and the remainder of the dataframe in a new frame. I've tried this: split(df, sample(nrow(df), size=100, replace=FALSE)) another way would be to make a new

I'm new to R and am trying to extract the factors of a dataframe using numeric indices (e.g. df[1]) that are input to a function definition instead of the other types of references (e.g. df$out). df[1] is a list(?) whose class is "dataframe". These indexed lists can be printed successfuly but are not agreeable to the plot() and lm() functions shown below as are their df$out

Hello everyone, I want make a variable selection  from a dataframe, but when I build this new object (using cbind) the new table (which is a matrix) I lost all the original factor names in the variables. I get 1,2,3.... Someone would be so kind and tell me if there's is a ny way to get variables in a dataframe, but not changing these factor to numbers? Thank you all. José [[alternative

Dear useRs, I am sure this is a fairly simple problem, but I just cannot get my head around it. I have a dataframe which contains several factor variables. I can use table() to tell me how many different combinations there are of these variables. What I should like to do is to add a column to my original dataframe which labels each row according to the unique combination of factors. E.g. in

I'm trying to copy the results of a dataframe to another within a cycle for but I am not able to implement the rbind, because give th d<-Null df<-NULL for(r in 2: nrow(x)) { val_user<-x.name[[r]] pos<-x.pos[[r]] -4 age <-x.age[[r]] d<-data.frame(val_user,pos,) print(d) } df<-rbind(df,d) } someone can help me solve this Thanks

dear R-team I need to find the min, max values for each patient from dataset and keep the output of it as a dataframe with the following columns - Patient nr - Region (remains same per patient) - Min score - Max score Patient Region Score Time 1 1 X 19 28 2 1 X 20 126 3 1 X 22 100 4 1 X 25 191 5 2 Y 12 1

Hi, I have a dataset X Y A= 10 15 20 30 40 50 B = X Z 10 30 20 50 I have a table containing X Y Z columns How to insert a data frame into the table without using for loop ? now currently i'm using the for loop with using the insert command? ----- Thanks in Advance Arun -- View this message in

I need help in subseting a dataframe: data1<-data.frame(year=c(2001,2002,2003,2004,2001,2002,2003,2004, 2001,2002,2003,2004,2001,2002,2003,2004), firm=c(1,1,1,1,2,2,2,2,3,3,3,3,4,4,4,4),x=c(11,22,-32,25,-26,47,85,98, 101,14,87,56,12,43,67,54), y=c(110,220,302,250,260,470,850,980,1010,140,870,560,120,430,670,540)) data1 I want to keep the firms where all x>0 (where there are

Dear R community, I have two dataframes "first" and "second" which share a unique identifier. I wish to make a new dataframe "third" retaining only the rows in "first" which also occur in "second". I have tried using merge but can't seem to figure it out. Any ideas? Thanks! Mark

Hello, I'm having trouble performing a certain function within R and I was hoping someone might be able to help. I have a matrix (1000x21) that contains whole-number values ranging from 1-7 and I want to replace all entries within this matrix that have a value of 1 with a random number contained within a different dataframe that has 21 rows,1000 columns. I've tried using the if/else

Hi, all, My objective is to split a dataframe named "cmbine" according to the value of "classes". After the split, I will take the first instance from each class and bin them into a new dataframe, "df1". In the 2nd iteration, I will take the 2nd available instance and bin them into another new dataframe, "df2". >cmbine$names apple tiger pencil chicken

Hello all, Let me first say that this isn't a question about outliers. I am using the outlier function from the outliers package but I am using it only because it is a convenient wrapper to determine values that have the largest difference between itself and the sample mean. Where I am running into problems is that I am several groups where I want to calculate the "outlier" within

I would like to export a dataframe to a .csv using: >write.csv(dataframe,"dataframe.csv") but I need to add four "header" lines to the csv that are not part of the dataframe (which itself has a line of column headers). The difficulty (for me, at least!) lies in the requirement that certain elements of the header (X, Y and the number of "Q"s - please see example

Dear all, I'm trying to remove some text after the period (a decimal point) in the data frame 'hi', below. This is one step in formatting a table. So I would like e.g. "2.0" to become "2" and "5.3" to be "5.3", where the variable digordered contains the number of digits after the decimal that I would like to display, in the same order in which

Hi, a couple of questions on manipulating a dataframe: 1) Without using a for loop (often inefficient, as i understand, in R), is it possible to split a dataframe into a list of dataframes with the number of *columns* in each (child)dataframe specified by the elements of a numeric vector? for example: dataframe 10 20 30 40 24 90 34 12 12 44 67 77 split using the vector c(3, 1) results in 2

Hello, I am relatively new to R and I am working through the code that is provided in the book Numerical Ecology with R and I have run across an error message that I can't seem to figure out. I am using the vegan, ade4, gclus and cluster packages. The code is as follows: # Ordered community table # Species are ordered by their weighted averages on site scores or <- vegemite(spe,

Every time I have to prefix a dataframe column inside the indexing brackets with the dataframe name, e.g. df[df$colname==value,] -- I am wondering, why isn't there an R scoping rule that search starts with the dataframe names, as if we'd said with(df, df[colname==value,]) -- wouldn't that be a reasonable default to prepend to the name search path? Cheers, Alexy

Hi, I've got a dataframe having a code as column name. Addtionally I have another dataframe with a two columns (and lots of rows), the first containing the code and the second some Text (real name). Now I'd like to use the information (pairs of code and name) of the second dataframe to rename all the columnnames in the first dataframe. How is it possible to achieve that? Here a small

Hi, I have a dataframe with 14319rows and 9 colums. for some rows there are null values.I want a dataframe without these null values.I wanna select only those that have values !=NA. kindly let me know how to do that. Ramya -- View this message in context: http://www.nabble.com/selecting-dataframe-values-that-are-not-nulls-tp19537093p19537093.html Sent from the R help mailing list archive at

Hi, I want to split a dataframe based on a grouping variable (in one column). The resulting new dataframes should be stored in a new variable. I tried to split the dataframe using split() and to store it using a FOR loop, but thats not working so far: df <- data.frame(A=c("A1","A1","A2","A2"),B=seq(1:4)) Fsplit <- function(x,y){ ls <-