similar to: Removing a data subset

Reading in the data from the file x <- read.csv( "ExampleData.csv", header = TRUE, stringsAsFactors = FALSE ) Subsetting as you want x <- x[ x$Location != "MW01", ] This selects all rows where the value in column 'Location' is not equal to "MW01". The comma after that ensures that all columns are copied into the amended data.frame. Rgds,

Hello everyone, I have a plot showing chloride concentrations for various point over time. I also have a dotted line that show the Secondary Maximum Contaminant Level (my screening limit) on the graphs at 250 mg/L. But I can not figure out how to include the dotted line / Secondary Maximum Contaminant Level in the legend. Any thoughts? My code is as following and is linked to my data on the

Hi Folks, I'm looking to do Confidence bands around LOESS smoothing curve. If found the older post about using the Standard error to approximate it https://stat.ethz.ch/pipermail/r-help/2008-August/170011.html Also found this one http://www.r-bloggers.com/sab-r-metrics-basics-of-loess-regression/ But they both seem to be approximations of confidence intervals and I was wonder if there was

Well, here is one way but it seems a bit clumsy. In words, I created a new data.frame with "250" in the Chloride vector and "SMCL" in the Detections vector and supplessed one legend. Warning: For my convenience I am using different data.frame names . library(ggplot2) MyData <-read.csv("http://doylesdartden.com/Stats/TimeSeriesExample.csv", sep=",")

I'm trying to plot smooth trend using smoothTrend in OpenAir but I'm having problems. I used the following code. --------------------------------------------------------------------------------- #Set my working dir to the dir with my files setwd("c:/R") #Load the openair library library(openair) #Load the data mydata <- read.table("MCNP-pH.csv", header=TRUE,

Hello, I'm using the code below to generate some notched box plots. The issue is whenever I use log scale, the sides of the bottom part of the box plots don't plot. I've tried it in RStudio Ver 1.1.419 and R version 3.4.3 and I get the same result. The code and link to my data is below. Thank you for your time David MyData <-

I just glanced at the problem but I think you would have to create a new variable to replace the hline. What about adding some text annotation in the graph instead? On Tuesday, September 26, 2017, 3:51:46 PM EDT, David Doyle <kydaviddoyle at gmail.com> wrote: Hello everyone, I have a plot showing chloride concentrations for various point over time. I also have a dotted line that

v7: - Fixes according to comments - Rebase on top of 1.37.12 Matteo Cafasso (7): daemon: expose file upload logic appliance: add yara dependency New API: yara_load New API: yara_destroy New API: internal_yara_scan New API: yara_scan yara_scan: added API tests appliance/packagelist.in | 4 + configure.ac | 1 + daemon/Makefile.am

v6: - use new test functions - fix yara_detection struct field names - revert yara_load function to initial version With Pino we were exploring the idea of allowing Users to load multiple rule files with subsequent calls to yara_load API. https://www.redhat.com/archives/libguestfs/2016-November/msg00119.html It turns out impractical due to YARA API limitations. It is possible to load multiple

v3: - allow to load multiple rule files - added optional namespace parameter to yara_load - move destructor logic in yara module - use generic file upload logic - use generic temporary path function Matteo Cafasso (6): appliance: add yara dependency New API: yara_load New API: yara_destroy New API: internal_yara_scan New API: yara_scan yara_scan: added API tests

Dear R Fellow-Travellers: What is your recommended way of dealing with a left-censored response (non-detects) in (linear Gaussian) mixed effects models? Specifics: Response is a numeric positive measurement (of volume, actually); but when it falls below some unknown and slightly random value (depending on how the sample is prepared and measured), it cannot be measured and is recorded as 0.

Yara is a rule based scanning engine aimed to help malware analysts in finding and classifying interesting samples. https://github.com/VirusTotal/yara This series adds Yara support to Libguestfs allowing to upload sets of rules and scanning files against them. Currently provided APIs: - yara_load: loads a set of rules - yara_destroy: free resources allocated by loaded rules - yara_scan:

Rebase patches on top of 1.35.25. No changes since last series. Matteo Cafasso (7): daemon: expose file upload logic appliance: add yara dependency New API: yara_load New API: yara_destroy New API: internal_yara_scan New API: yara_scan yara_scan: added API tests appliance/packagelist.in | 4 + configure.ac | 1 + daemon/Makefile.am

v9: - fixes according to comments Matteo Cafasso (7): daemon: expose file upload logic appliance: add yara dependency New API: yara_load New API: yara_destroy New API: internal_yara_scan New API: yara_scan yara_scan: added API tests appliance/packagelist.in | 4 + configure.ac | 1 + daemon/Makefile.am | 4 +-

v2: - Fix yara dependency in packagelist - Use pkg-config where available - Improve longdesc of yara_load API - Fix libyara initialization and finalization - Import CLEANUP_FCLOSE - Add custom CLEANUP_DESTROY_YARA_COMPILER - Add rules compilation error callback - Other small fixes according to comments Matteo Cafasso (6): appliance: add yara dependency New API: yara_load New API:

Rebase patches on top of 1.37.1. No changes since last series. Matteo Cafasso (7): daemon: expose file upload logic appliance: add yara dependency New API: yara_load New API: yara_destroy New API: internal_yara_scan New API: yara_scan yara_scan: added API tests appliance/packagelist.in | 4 + configure.ac | 1 + daemon/Makefile.am

v5: - rebase on top of 1.37.9 - add missing actions_yara.* files Matteo Cafasso (7): daemon: expose file upload logic appliance: add yara dependency New API: yara_load New API: yara_destroy New API: internal_yara_scan New API: yara_scan yara_scan: added API tests appliance/packagelist.in | 4 + configure.ac | 1 + daemon/Makefile.am

v8: - Ignore returned value in daemon/upload.c - Report serialization errors in lib/yara.c Matteo Cafasso (8): daemon: ignore unused return value in upload function daemon: expose file upload logic appliance: add yara dependency New API: yara_load New API: yara_destroy New API: internal_yara_scan New API: yara_scan yara_scan: added API tests appliance/packagelist.in

Dear All, Apologies if my questions are too basic for this list. I am given a set of data corresponding to list of detection times (real, non-integer numbers in general) for some events, let us say nuclear decays to fix the ideas. It is a small dataset, corresponding to about 400 nuclear decay times. I would like to test the hypothesis that these decay times are Poissonian-distributed. What is

I have been having some troubles with the zaptel channel on what appears to be the inbound process. The box is running the stable CVS code and has a TDM400P 4-port FXO card in it for analog connectivity. Channel 1 is the only active port on the card at the moment as we only have one analog line. What has been happening is that it looks like Asterisk has been detecting an inbound call even though