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...the same and you may need the Date ## class. data$COL2 <- as.Date(strptime(data$COL2, format = "%m/%d/%y")) data$COL1 <- as.Date(strptime(data$COL1, format = "%m/%d/%y")) data data$Date_Flag <- ifelse(data$COL2 > data$COL1, 0,1) data R. Mark Sharp, Ph.D. msharp at TxBiomed.org > On Aug 23, 2017, at 9:53 AM, Patrick Casimir <patrcasi at nova.edu> wrote: > > data$Date_Flag <- ifelse(data$COL2 > data$COL1, 0,1) > > > COL1 COL2 > 6/1/14 5/1/15 > 7/1/14 5/1/15 > > > data$COL2<- as.Date(as.character(data$CO...

...129600 ......... ......... The 'start' and 'stop' columns are evaluated from the 'timings' columns. I need help in performing such transformation in 'R'. Please guide and help. Regards, Sandeep On Wed, Jul 5, 2017 at 7:26 AM, Mark Sharp <msharp at txbiomed.org> wrote: > A small example data set that illustrates your question will be of great value to those trying to help. This appears to be a transformation that you are wanting to do (timestamp to units of time) so a data representing what you have (dput() is handy for this) and one representin...

...on that you are wanting to do (timestamp to units of time) so a data representing what you have (dput() is handy for this) and one representing what you want to have with any guidance regarding how to use the other columns in you data set (e.g., the event(0/1)). Mark R. Mark Sharp, Ph.D. msharp at TxBiomed.org > On Jul 4, 2017, at 7:02 AM, Sunny Singha <sunnysingha.analytics at gmail.com> wrote: > > Thanks Boris and Bret, > I was successful in simulating granular/transactional data. > Now I need some guidance to transform the same data in format acceptable > for survival...

Hello, I want to perform a latent class analysis using poLCA package. My formula is: substances <- cbind(subs1, subs2, subs3, subs4, subs5, subs6) ~ gender+age+education+income+occupation+urban+dbehavior+incarceration+treatment+depression+alcriteria I want to include sample weights in the model, I have read that poLCA does not take into account weights, but when I introduce them, it seems

Dear R fellows, I created a new column Date_flag to compare the dates of COL1 and COL2 using the code below. But it showed that 5/1/15 is greater than 6/1/2014 and 5/1/2015 greater than 7/1/2014 despite the year is greater. How do I fix that? I did try to format as %y/%m/%d but it does not fix that. data$Date_Flag <- ifelse(data$COL2 > data$COL1, 0,1) COL1 COL2 6/1/14

...our function gets the value of "startx" it becomes a numeric vector of length 2, which is then used to set the length of the numeric vector "f". As soon as the function tries to assign a value to f[3], R correctly throws an informative error. Mark R. Mark Sharp, Ph.D. msharp at TxBiomed.org > On Aug 9, 2017, at 3:56 PM, Santi Burone <santiagoburone at gmail.com> wrote: > > Dear all, > I am relatively new to R and have had some difficulty in understanding an error i get when running a code to solve a system of non-linear equations, with four equations and two...

Hello, I have a question concerning courses in R in *Vienna, Austria*. Does anyone know where courses in R are offered, that you can do after having attended a course for the basics? Thanks in advance for your help. Marion [[alternative HTML version deleted]]

Dear all, I am relatively new to R and have had some difficulty in understanding an error i get when running a code to solve a system of non-linear equations, with four equations and two variables. This is my code: ALPHA <- c(-0.0985168033402, 0.1, 0.15, 0.2, 0.25, 0.3, 0.35, 0.4) BETA <- c(-0.0985168033402, 0.1, 0.15, 0.2, 0.25, 0.3, 0.35, 0.4) GAMMA <- c(0.3940672148378, 0.1, 0.15,

Hello again, in the help page of grep() function, it is written that pattern: character string containing a regular expression (or character string for fixed = TRUE) to be matched in the given character vector. Coerced by as.character to a character string if possible. If a character vector of length 2 or more is supplied, the first element is used with a warning. Missing values are allowed

With the lastest version of R 3.4.1 I have not been able to loard Rcmdr. Advice please. Thank you, Jack Talley, PhD [[alternative HTML version deleted]]

In principle what you need to do is the following: - break down the time you wish to simulate into intervals. - for each interval, and each failure mode, determine the probability of an event. Determining the probability is the fun part, where you make your domain knowledge explicit and include all the factors into your model: cumulative load, failure history, pressure, temperature,

Thanks Boris and Bret, I was successful in simulating granular/transactional data. Now I need some guidance to transform the same data in format acceptable for survival analysis i.e below format: pump_id | event_episode_no. | event(0/1) | start | stop | time_to_dropout The challenge I'm experience is to generate the 'start' and 'stop' in units of minutes/days from single

Hi, I have 6 excel files, I want to concatenate all and create one excel files, How to program that in R.(I need the code) Kind regards, SUBRAT SWAIN IMPORTANT NOTICE: The information in this email (and any attachments) is confidential. If you are not the intended recipient, you must not use or disseminate the information. If you have received this email in error, please immediately notify me