similar to: by output into data frame

Hello, I am having a problem where code that plots lines using a different data frame plots bars with the current data frame (I am intended to plot lines). The code specifies lines (see below), so I can't figure out why the results are bars. I suspect that it may have something to do with the fact that in the data frame where the code worked as intended, the both variables specifying

Hello, I apologize in advance for not providing sample data, I'm a very new to R and can't easily generate appropriate sample data quickly. I'm hoping someone can offer advice without it. This code below works and does what I want it to do, which is for a given row in my dataframe, where the variable "peak.cort" = max, it makes the value of another variable

Hi guys, I am using the cor() function to see if there are correlations between March cortisol levels and December cortisol levels and I'm trying to figure out if the function is doing what I want it to do. Each sample has it's own separate row in the CSV file that I'm working out of. March Cort and December Cort are different columns and they come from separate samples, therefore

Muchas gracias Carlos, la lógica es perfecta pero no se como identificar con código las lineas en blanco entre el bloque 2 y el bloque 3. Para de esta forma quedarme solo con el bloque 2. Tienes alguna idea? Muchas gracias. Joan 2016-07-28 17:00 GMT+02:00 Carlos Ortega <cof en qualityexcellence.es>: > Hola, > > Se me ocurre esta solución en pseudo-código...: > > >

Hi, I have written the following function to check whether a vector has elements satisfying monotonicity. is.monotone <- function(vec, increase=T){ # check for monotonicity in time-stamp data for cortisol collection ans <- TRUE vec.nomis <- vec[!is.na(vec)] if (increase & any(diff(vec.nomis,1) < 0, na.rm=T)) ans <- FALSE if (!increase & any(diff(vec.nomis,1) > 0,

Hi, This is not an R question, but I've seen opinions given on non R topics, so I wanted to give it a try. :) How would one treat a variable that was measured once, but is known to fluctuate a lot? For example, I want to include a hormone in my regression as an explanatory variable. However, this hormone varies in its levels throughout a day. Nevertheless, its levels differ substantially

Hello all, I have a question which I have been struggling with for several weeks now, that I think might be easy for more proficient coders than myself. I have a large behavioral dataset, with behaviors and the times (milliseconds) that they occurred. Each subject has a separate file, and a sample subject file can be generated using the following syntax: Time <- c(1000, 1050, 1100, 1500, 2500,