factors

Possible Duplicate: identifying or coding unique factors using R I'm having some trouble with R. I have a data set similar to the following, but much longer. A B Pulse 1 2 23 2 2 24 2 2 12 2 3 25 1 1 65 1 3 45 Basically, the first 2 columns are coded. A has 1, 2 which represent 2 different weights. B has 1, 2, 3 which represent 3 different times. As they are coded numerical values, R will treat them as numerical variables. I need to use the factor function to convert these variables into factors. Help? Here's an example: #Create a data frame > d<- data.frame(a=1:3, b=2:4) > d a b 1 1 2 2 2 3 3

I am trying something that should be simple, any hint on what is going on is very welcomed. I have a large data frame with country imports from some municipalities. For some countries I have 2 entries. I want to sum the imports from each municipality and having a unique row for each country. I am using the aggregate function. For example (I include a small part of the data frame): municipalities<-c("country",1100056, 1100106,1100205,1100304,1200104,1200252) c1<-c("Afghanistan",2,34,23.4,5,0,0) c2<-c("Afghanistan",0,20,11.1,5.4,2,0) c3<-c("Albania",12,120,11.4,5.1,12,10) c4<-c("Albania",0,40,61

I have something like this down: int f = 120; for(int ff = 1; ff <= f; ff++){ while (f % ff != 0){ } Is there anything wrong with my loop to find factors? I'm really confused as to the workings of for and while statements, so chances are they are completely wrong. After this, how would I go about assigning variables to said factors? Sharad Dargan public class Solution { public ArrayList<Integer> allFactors(int a) { int upperlimit = (int)(Math.sqrt(a)); ArrayList<Integer> factors = new ArrayList<Integer>(); for(int i=1;i <= upperlimit; i+= 1){ if(a%i == 0){ factors.add(i); if(i != a/i){ factors

I am relatively new to R. For my assignment I have to start by conducting a T-Test by looking at the effect of a politician's (Conservative or Labour) wealth on their real gross wealth and real net wealth. I have to attempt to estimate the effect of serving in office wealth using a simple t-test. The dataset is called takehome.dta Labour and Tory are binary where 1 indicates that they serve for that party and 0 otherwise. The variables for wealth are lnrealgross and lnrealnet. I have imported and attached the dataset, but when I attempt to conduct a simple t-test. I get the following message

I would like to create a new variable,litter, to indicate each sow or litter in different farrowing dates (fdate). Each litter is to be numbered from 1 to N with an increament of 1 as shown in the last column. sow season piglet fdate litter 1M521 1 5702 14/09/2009 1 1M521 1 5703 14/09/2009 1 1M521 2 22920 17/02/2010 2 1M521 2 22920 17/02/2010 2 1M521 2 22920 17/02/2010 2 1M584 1 8516 28/09/2009 3 1M584 1 8516 28/09/2009 3 1M584 1 8516 28/09/2009 3 1N312 1 6192 16/09/2009 4 1N312 1 6193 16/09/2009 4 1N312 1 6194 16/09/2009 4 1N312 2 21818 11/02/2010 5 1N312 2 21819 11/02/2010 5 1N312 2 21820 11

I wrote a small function to partition my dataset into training and testing sets. However, I am running into trouble when dealing with factor variables. In the model validation phase of my code, I get an error if the model was built on a dataset that doesn't have representation from each level of a factor. How can I fix this partition() function to include at least one observation from every level of a factor variable? test.df <- data.frame(a = sample(c(0,1),100, rep = T), b = factor(sample(letters, 100, rep = T)), c = factor(sample(c("apple", "orange"), 100, rep = T))) set.seed(123) partition