similar to: Subsetting depth profiles based on maximum depth

Hello, Apologies for a similar earlier post. I didn't include enough details in that one. I am having a little trouble subsetting some data based on a grouping variable. I am using an instrument that does depth profiles of a water column. The instrument records on the way down as well as the way up. So thanks to an off-list reply I can subset the data so that all data collected at the

Hello all, I have been using an instrument that collects a temperature profile of a water column. The instrument records the temperature and depth any time it takes a reading. I was sampling many times at discrete depth rather than a complete profile of the water column (e.g. interested in 5m, 10m and 20m depth position only). The issue was that these measurement were taken with the instrument

Dear R Community, I am new to R, and have a question that I suspect may be quite simple but is proving a formidable roadblock for me. I have a large data set that includes water-quality measurements collected over many 24-hour periods. The date and time of sample collection are in a combined Date/Time field in the format yyyy-mm-dd hh:mm:ss. I need to be able to subset the data for analysis of

Hello, I am trying to define a different interval for a "year". In hydrology, a "water year" is defined as the period between October 1st and September 30 of the following year. I was wondering how I might do this in R. Say I have a data.frame like the following and I want to extract a variable with the water year specs as defined above:

Hello, I am trying to create a plot often seen in hydrodynamic work than includes a contour plot representing the water speed with arrows pointing in the direction of flow. Does anyone have any idea how I might add arrows based on wf$angle (in the example below) to the plot below? Thanks in advance! Sam library(lattice) speed <- runif(100, 0, 20) wf <- data.frame(speed) wf$width <-

Dear all, This relatively routine analysis has left me frustrated and in a rut. I have a dataset (data1), which I subset in order to remove rows where HabitatDensity="Med". This dataset looks correct when I call it up, however, when I create a table out of the new subset (data2), my table continues to show the "Med" information as 0. This is a problem because I need a

Hello, I am looking for a way to subset a data frame by choosing the top ten maximum values from that dataframe. As well this occurs within some factor levels. ## I've used plyr here but I'm not married to this approach require(plyr) ## I've created a data.frame with two groups and then a id variable (y) df <- data.frame(x=rnorm(400, mean=20), y=1:400,

Folks In trying to use lmer for a hierarchical model, I encountered the following message: Error in UseMethod("VarCorr") : no applicable method for 'VarCorr' applied to an object of class "mer" foo.mer <- lmer(y ~ TP + (TP|M),data=joe.q) > head(joe.q[,1:5]) TP M AB Trt y 1 1 Jan A NN 19.20002 2 1 Jan A NN 19.06378 3 1 Jan A NN

Colleagues, I am analyzing data collected during oceanographic cruises. We have conducted many cruises over the last decade. On each cruise we visit ~50 stations. At each station (termed EventNum)we lower an instrument that measures depth, temperature, salinity and oxygen every few seconds as it is lowered through the water. Data from all EventNums on all cruises are stacked, generating a data

Hi All, has anyone run into maximum depth of nested JSON arrays in either rjson or RJSONIO ? I seem to be able to get up to 10 depth levels without problem, but crossing over to 11 either causes an error or fails to load the nodes properly. with RJSONIO I tried: a = fromJSON('data/myJSON.json', depth=1000) but I still get this error: Error in fromJSON(content, handler, default.size,

Hello, I am having a problem making use of some data outputted from an instrument in a somewhat weird format. The instrument outputs two columns - one called JulianDay.Hour and one called Minutes.Seconds. I would like to convert these columns into a single column with a time. So I was using substr() and paste to extract that info. This works fine for the JulianDay.Hour column as there are always

Dear list, For the maintainer of a given package, is it possible to change the licence of a it from GPL >= 2 to GPL >= 3 ? Thanks in advance, Mauricio Zambrano-Bigiarini, Ph.D -- ================================================= Water Resources Unit Institute for Environment and Sustainability (IES) Joint Research Centre (JRC), European Commission TP 261, Via Enrico Fermi 2749, 21027

Dear R community Hope all of you are fine. I have a question regarding the an error message. Actually, I am trying to generate classification trees using "tree" package. It works well but for some datasets e.g., wine, yeast, boston housing etc. it gives an error message. Error in tree(V14 ~ ., data = training.data, method = c("recursive.partitioning"), : maximum

Two questions: First, what is R's maximum recursion depth (for function evaluations)? Is the value stored in a variable? Can the value be modified? Second, I've hacked out a function to take a matrix (array) of data and return another that is the same except it removes any duplicate columns. After doing this I discovered the unique() function and I tried to use it via apply() to do

Dear All, Let: dp: depth of the?river tp: temperature with respect to depth We can?have a simple scatter plot, between depth as y-axis and temperature as x-axis,?by using a?plot function as shown?below. #####################? dp <- c(1,4,3,2,5,7,9,8,9,2) tp <- 1:10 plot(tp,dp, type= 'l') ##################### ? Could someone advice me on?the way to?plot the same pair of

Dear List, Recently I got the comment that the implementation of the random number generator used by default in R (Mersenne-Twister) could not be "safe" for 64-bits machines, so I decided to put the question here because I do not have expertise in that topic, and because this question could be "too technical for R-help's audience". I apologise if this is not the case.

I am trying to distribute the entries of a data frame (dat) to a vector (water) based on the values of two other vectors (region and year). region is also the columns and year the rows of the data frame (dat). I can write a bunch of ifelse statements or I created the for statement below - but there must be a simpler way?? The for statement probably won't work if I am distributing a non

I have trying to figure this out all day so hopefully the answer isn't too obvious. I am able to view a graph in the viewer window. However, I need to export graph outside of the viewer window. Here is the script I am using: > png("Compare.png") > plot(compare$DepthSLI, compare$DischargeSLI, col="blue", xlab = "Average Water Depth (cm)", ylab =

Dear All, ? Let: dp: depth of the river tp: temperature with respect to depth These pair of observations are in 3 different groups i.e: Obs. 1,3,5,7?from the first group Obs. 2,4 and?10?from second group Obs 6,8 and 9?from third group. We can have a simple scatter plot, between depth as y-axis and temperature as x-axis, with each pairs are denoted by a red dot, by using a plot function shown

Dear R Help-Listers: I have a problem that seems like it should have a simple solution, but I've spent hours on it (and searching the r-help archives) to no avail. What I'd like to do is to generate a new variable within a data frame, the values of which are dependent upon the values of an existing variable within that data frame. Assume that I have the following data: