[R] Statistical significance in robust estimation rlm()

Hi there, I used the rlm() function for doing a robust estimation based on M-estimates. Obviously, you only get the estimate, standard error and t- value by implementing this rlm() function. So, how can I say if a coefficient is statistical significant without the presence of a p-value? Thanks

Re: [R] Hausman test in R

Given my acknowledged statistical ignorance, I tried to find a *solution *in this forum... And this is not primarily a statistical issue, it is an issue about the Hausman test in the R environment. I cannot imagine, no one in this forum has ever done a Hausman test on OLS regressions. I read in

Re: [R] Hausman test in R

Thanks for your answer, John! Having read in Wooldridge, Verbeek and Hausman himself, I tried to figure out how this whole Hausman test works. I tried to figure out, if endogeneity exists in my particular case. So I did this Y ~ X + Z + Rest + error term [# this is the the original regression

[R] Hausman test in R

Hi there, I am really new to statistics in R and statistics itself as well. My situation: I ran a lot of OLS regressions with different independent variables. (using the lm() function). After having done that, I know there is endogeneity due to omitted variables. (or perhaps due to any other

[R] Export summary from regression output

Hi there, I tried it many times but didn't get it worked. I just want to export the summary of a OLS regression (lm() function) into a csv-file including the call-formula, coefficients, r-squared, adjusted r-squared and f statistic. I know I can export:

[R] How to count rows with a condition

Hi, I have a dataset called data. There is one row called ac_name. Some names in this column appear very often, some less. What I want is to filter this dataset with the following condition: Exclude the names, which appear more than five times. (example: House A appears 8 times == exclude it;

Re: [R] How to count rows with a condition

Thanks for the first reply. Unfortunately, my list of different ac_names ist pretty long (about 1,000 different names). Is there a way, to sort them, count the quantity of each name and exclude these rows, who exceed a particular limit? -- View this message in context:

[R] Creating a correlation matrix with significance levels

Hi there, I tried this code from homepage: http://myowelt.blogspot.de/2008/04/beautiful-correlation-tables-in-r.html http://myowelt.blogspot.de/2008/04/beautiful-correlation-tables-in-r.html corstarsl - function(x){ require(Hmisc) x - as.matrix(x) R - rcorr(x)$r p - rcorr(x)$P ## define

[R] How to create a column in dependence of another column

Hi there, I'm sorry for the bad subject decision. Couldn't describe it better... In my dataset called dataSet I want to create a new variable column called deal_category which depends on another column called trans_value. In column trans_value I have values in USDm. Now what I want to do is to

Re: [R] Calculating the mean in one column with empty cells

Hi, the first command was bringing the numbers into R directly: * testdata - c(0.2006160108532920, 0.1321167173880490, 0.0563941428921262, 0.0264198664609803, 0.0200581303857603, -0.2971754213679500, -0.2353086361784190, 0.0667195538296534, 0.1755852636926560) mean(testdata) [1] 0.0161584*

Re: [R] Calculating the mean in one column with empty cells

I created a Microsoft Excel spreadsheet. As you said, I only have as displayed numbers. I just solved the problem by showing 25 decimal places in Excel and then exported the data into a CSV-file. Is there a better way to solve this? Regards, Felix -- View this message in context:

[R] Calculating the mean in one column with empty cells

Hi all, I recently tried to calculate the mean and the median just for one column. In this column I have numbers with some empty cells due to missing data. So how can I calculate the mean just for the filled cells? I tried: mean(dataSet2$ac_60d_4d_after_ann[!is.na(master$ac_60d_4d_after_ann)],

Re: [R] Calculating the mean in one column with empty cells

I imported the whole dataset with read.csv2() and it works fine. (2 for German is correct ;) ) I already checked the numbers and I also tried to calculate the mean of a range of numbers where there is no NA given. (as mentioned in my last post above). -- View this message in context:

Re: [R] Calculating the mean in one column with empty cells

I'm sorry! Now I tried it again with just 10 numbers (just random numbers) and Excel gives a different output than R. Here are the numbers I used: 0,2006160108532920 0,1321167173880490 0,0563941428921262 0,0264198664609803 0,0200581303857603 -0,2971754213679500 -0,2353086361784190