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...ied: out <-gsub("--","\\\\N",as.matrix(d)) #using as.matrix to get rid of factors out cat(out) # But I lost my data frame ### end Any idea? Regards, Pierre Lapointe ************************************************** AVIS DE NON-RESPONSABILITE: Ce document transmis par courrie...{{dropped}}

..."fr") x <- as.Date(c("1jan1960", "2jan1960", "31mar1960", "30jul1960"), "%d%b%Y") y <-1:4 plot(x,y) Regards, Pierre Lapointe ************************************************** AVIS DE NON-RESPONSABILITE: Ce document transmis par courrie...{{dropped}}

...ECT * FROM estimates a, newtable b WHERE a.Ticker=b.Ticker AND a.Fiscal_Year=b.Fiscal_Year AND a.EPS<>b.EPS AND a.Date_Last_change-1.9>b.Date_Last_change ") Regards, Pierre ************************************************** AVIS DE NON-RESPONSABILITE: Ce document transmis par courrie...{{dropped}}

Howdee, My question appears at #6 below: 1. I want to model the growth of each of a large number of individuals using a 4-parameter logistic growth curve. 2. nlme does not converge with the random structure that I want to use. 3. nlsList does not converge for some individuals. 4. I decided to go around nlsList using: t(sapply(split(data, list(data$id)), function(subd){coef(nls(mass ~

Howdee, One of my student spotted something I can't explain: a probability >1 vs a normal probability density function. > dnorm(x=1, mean=1, sd=0.4) [1] 0.9973557 > dnorm(x=1, mean=1, sd=0.39) [1] 1.022929 > dnorm(x=1, mean=1, sd=0.3) [1] 1.329808 > dnorm(x=1, mean=1, sd=0.1) [1] 3.989423 > dnorm(x=1, mean=1, sd=0.01) [1] 39.89423 > dnorm(x=1, mean=1, sd=0.001) [1]

Hello, I want to reduce the distance between my ticks and their labels. I managed to do it for the x-axis, but the y-axis puzzles me. Here's an example where there is no space between the x-asix ticks and labels. par(las=1) plot(runif(50), type="l",xaxt="n",yaxt="n",ylab="", bty="l") axis(2) axis(1,padj=-1.5) #However, axis(2,padj=-1.5)

Hello, Ever wondered how people use a particular function in their programs? Use Google to find actual scripts: filetype:R boxplot will return real R scripts using the boxplot function. Regards, Pierre Lapointe Assistant Market Strategist *********************************************************************************** AVIS DE NON-RESPONSABILITE:\ Ce document transmis par

Hello, I have an excel file that I load through RODBC. Some of my columns are blank. They are equity time series and the stocks did not exist at the earlier dates. My problem is that the whole column becomes <NA> even though there are numbers at later dates. Here's my excel file http://www.tradebit.com/download.php/35699 <http://www.tradebit.com/download.php/35699> And

...linking it all together. I know the answer is probably with lapply lapply(str,substr,1,3) but I don't know how to specify the right start and stop positions from the gregexpr results. ************************************************** AVIS DE NON-RESPONSABILITE: Ce document transmis par courrie...{{dropped}}

...day 18 svn rev 40228 language R version.string R version 2.4.1 (2006-12-18) ************************************************** AVIS DE NON-RESPONSABILITE: Ce document transmis par courrie...{{dropped}}

...? a<-array(1:24, 2:4) Is there an open source DB that would be more adequate for this type of operation? Is there a way to reshape/flatten a 3-dimensional array? Regards, Pierre Lapointe ************************************************** AVIS DE NON-RESPONSABILITE: Ce document transmis par courrie...{{dropped}}

Hello, Let's say I have 50 R scripts to run. What would be the most efficient way to run them? I thought I could do multiple Rterms in a DOS batch file: Ex: Rterm <1.R> 1.txt Rterm <2.R> 2.txt ... Rterm <50.R> 50.txt However, I'm afraid they will all open at the same time. I know I could pause the batch file with something like: PING 1.1.1.1 -n 1 -w 60000

...day 18 svn rev 40228 language R version.string R version 2.4.1 (2006-12-18) ************************************************** AVIS DE NON-RESPONSABILITE: Ce document transmis par courrie...{{dropped}}

...-Z]{3}',str)] #looking for a sequence of 3 consecutive upper case letters [1] "AGH" "this WOUld be good" "Not Good at All" Any idea? Pierre ************************************************** AVIS DE NON-RESPONSABILITE: Ce document transmis par courrie...{{dropped}}

...g. These searches do not return anything that look like Kalman filter variations (EK, SEEK, ROEK, etc.) help.search("assimilation") help.search("inverse model") Regards, ************************************************** AVIS DE NON-RESPONSABILITE: Ce document transmis par courrie...{{dropped}}

Howdee, *** I know that the lmList() function exists, yet I don't want to use it. *** Would anyone be kind enough to tell how I can apply the function lm() to each level of a given factor so to obtain the intercept and slope for each factor level within a matrix? For instance, suppose a dataframe containing 3 variables: id, x and y. I want to compute the function lm() for each level

...svn rev 38024 language R version.string Version 2.3.0 Patched (2006-05-11 r38024) Pierre Lapointe ************************************************** AVIS DE NON-RESPONSABILITE: Ce document transmis par courrie...{{dropped}}

Dear all, I'd appreciate any hints how to arrange some plots. I have three plots. I would like to arrange them in the following order: - Plot 1 and Plot 2 should be in the upper row - Plot 3 should be in the lower row but centered in the middle. I hope the following sketch will help understanding my problem ================ | === === | || P1| |P2 | | || | | | | | === === |

Hello, This is not a problem with R, the calculated results are mathematically correct. This a matrix stability problem. Because of measuring errors, my matrix solution is a bit off. Here is what my equations look like: A11 x11+A12 x12 +A13 x13 = b1 A21 x21+A22 x21 +A23 x23 = b2 A31 x31+A32 x31 +A33 x33 = b3 A is a reading, X is a measured weight, and b is total. The 3 experiments give

Is there a way to apply a function, say cor(), to each combination of some number of variables, and this, without using loops? For example, I have day, hour, var1 and var2. How could I compute cor(var1,var2) for each day*hour combination and obtain a matrix with day, hour and the cor value for each combination? Thanks for your time, Marc =================== Marc Bélisle Professeur adjoint