similar to: Temperature Prediction Model

Dear useRs, I reran an analysis with bam (mgcv, version 1.7-17) originally conducted using an older version of bam (mgcv, version 1.7-11) and this resulted in the same estimates, but much lower standard errors (in some cases 20 times as low) and lower p-values. This obviously results in a larger set of significant predictors. Is this result expected given the improvements in the new version? Or

Hi there, This seems like it should be simple. I have a data frame of climate data sampled every 10 min. I want to average the entire data frame into 30 min values (i.e., one value for each half hour). Functions like running.mean give me a moving average but I want to reduce the size of the entire frame.. Any ideas how? Cheers! Example of my data timestamp Voltage LwTempDownelling

When an error occurs in prerun_command, puppet continues execution instead of stopping. We can see the error at the log file, but puppet cotinues doing changes: puppetd[18430]: Failed to prepare catalog: Could not run command from prerun_command: Execution of ''/path/to/command'' returned 1: We want to prevent changes when an error occurs in prerun_command. Our puppet.conf:

Dear all, I'm trying to fit the following function slope_pp3_mrna = ( (k3 * v3_K_d *p1^v3_h) / ( (v3_Kd^v3_h) + p2^v3_h ) ) * ( 1/(1 + (p2/v4_Kd)^v4_h) ) - pp3_mrna to this experimental data in the datafraeme "Data_pp3_mrna" (see it at the end of this e-mail) I'm using the nls function in the following code. IN the last step of the fit

Hi, i have that table Thesis Day A B C 1 0 83.43 90.15 22.97 1 0 85.50 94.97 16.62 1 0 83.36 95.38 20.70 1 0 84.47 92.16 23.58 1 0 83.98 95.33 19.39 1 0 82.86 93.78 24.55 1 0 83.39 92.67 19.56 1 0 85.17 95.24 17.95 1 0 81.62 93.32 28.49 1 0 82.99 92.85 19.73 1 0 81.11 95.67 27.20 1 0 83.39 94.69 16.51 1 0 79.56 89.87 30.39 1 0 80.54 93.32 21.76 1 0 82.11 92.58 22.17 1 14 85.65 94.00 19.19 1 14

Dear R users, I'm trying to implement a self-defined function with multiple arguments, one of which is an array, but I find that the result is a single value instead of an array. This is the example I'm working on: # define integration limit vector > Mabslim <- c(-17.95, -16.65, -17.27, -17.62, -16.76, -17.07, -17.02) # Define function > schech<-function(x,alpha,xstar)

I have a series of numbers I'm wanting to plot. They come from a nanodrop machine, which graphs with a specific x and y indices. X goes from 220nm to 350nm, which I can set. But the y axis should go from -5 to 65, but I'm finding it impossible to hardcode that. I've looked. I've typed ?plot at the R prompt. Google has not been my friend. _R Graphics_, if it holds the key, has not

Hi, I am experiencing a baffling behaviour of stepAIC(), and I hope to get any advice/help on what went wrong or I'd missed. I greatly appreciate any advice given. I am using stepAIC() to, say, select a model via stepwise selection method. R Version : 1.7.1 Windows ME Many thanks and best regards, Siew-Leng ***Issue : When stepAIC() is placed within a function, it seems

Hi, I am currently working on a thin-client "low-cpu" usage telephone application. The current setup is that you can make phonecalls using an alsa supported usb headset and a smartlink based usb modem (a sweex usb modem, which -in large quantities- goes for 17.95 euro's) for analog lines. Unfortunately, it is really made as a modem and not for audio purposes, so, there is a pretty