similar to: summarize: A log analysis script

Hi Folks! goofing around, i foun in lighttpd console, a line showing how much time it takes to render it, and how much to search in the database, ... hmm, that i guess will be interesting to show in the footer''s page. So, searching around, the only way I found it about showing is to get the "start time" in some initialize method, and the, in the view, get something

Hello, I want to emit a structured log entry (in YAML) for every request that hits my Rails app. For example, an entry in this log would look something like: --- SYSTEM_TIME: 0.0166666666666667 USER_TIME: 0.0999999999999996 DB_TIME: 0.00247621536254883 REAL_TIME: 0.091976 STATUS_CODE: 500 SESSION_ID: 64ad46a8841c66bbf64e93335cedc50d REQUEST_ID: 32d6a42f-da58-43e2-ab27-09d3e2a775cb

I've been working through https://www.tidytextmining.com/tidytext.html wherein everything worked until I got to this part in section 1.5 > hgwells <- gutenberg_download(c(35, 36, 5230, 159)) Determining mirror for Project Gutenberg from http://www.gutenberg.org/robot/harvest Error in open.connection(con, "rb") : Failed to connect to www.gutenberg.org port 80: Connection

hi, I m said to display graph in browser using Rook. So i found a code i.e library(Rook) # for web functionality library(ggplot2) # for graphing library(tseries) # used to grab time series from yahoo for stock symbols library(plyr) # data tweaks PIC.DIR = paste(getwd(), 'pic', sep='/') # define the web page form newapp = function(env) { req =

Hi. I would like to set @request.env["HTTP_REFERER"] in an integration test, but due to its nature, I would naturally set this value to the previousle request url. How do I do that. Thanks. Jarl

I've searched the Web with Google and do not find what might cause this particular error from an invocation of cenboxplot: cenboxplot(cu.t$quant, cu.t$ceneq1, cu.t$era, range=1.5, main='Total Recoverable Copper', ylab='Concentration (mg/L)', xlab='Time Period') Error in if (n > 0) (1L:n - a)/(n + 1 - 2 * a) else numeric() : argument is of length zero I do

Thanks to all that replied. I had just looked through the httr code and sure enough for a .csv mime time it calls readr::read_csv(). The httr::content docs suggest not using automatic parsing in a package, rather to determine mime type and parse yourself and Ben's suggestion also works if I do: junk <- readr::read_csv(r1$content, col_types = cols()) Perfect. Using httr rather than

First, my installation is samba 2.2.8 running as a daemon (not inetd) on Solaris 8 configured to use a WINS server and provide authentication via a PDC (same host as WINS server). I do have an lmhosts file in the samba /lib directory with the PDC/WINS server address in it. My globals section; [global] workgroup = WORKGROUP netbios name = SAMBASERVER security =

I have a straightforward application of ddply() and summarize(): ddply(MyFrame, .(Treatment, Week), summarize, MeanValue=mean(MyVar)) This works just fine: Treatment Week MeanValue 1 MyDrug BASELINE 5.91 2 MyDrug WEEK 1 4.68 3 MyDrug WEEK 2 4.08 4 MyDrug WEEK 3 3.67 5 MyDrug WEEK 4 2.96 6 MyDrug WEEK 5 2.57 7 MyDrug

I got an error when trying to extract a 1-column subset of a data frame (called "my.output") created by dplyr/summarize. The ncol() function says that my.output has 4 columns, but "my.output[4]" fails. Note that converting my.output using as.data.frame() makes for a happy ending. Is this the intended behavior of dplyr? Tx, John > library(dplyr) > # set up data frame

This seems more like a STATS question than an R question - asking on a list like STAT-L or ALLSTAT may result in more replies Nevertheless, it seems to me that you need to describe (and maybe decide) what you mean by 'summarize' the correlations. Certainly the mean DOES summarize them, but is it the summary you want? Maybe, maybe not. Perhaps the median? Or a trimmed mean? Do you want

Hi, I'm working on a data set that contains a couple of factors and a number of dependent variables. From all of these dependent variables I would like to calculate mean, standard deviation and quantiles. With the function FUN I get all the means and stdev that I want but quantiles are only calculated for the first of the dependent variables (column 8 in the summarize command). What do I

Hello everyone, I am a newbie, working on a gene clustering problem, and I have problems in summarizing a logical string into number of repeats of each value. In other words, how could I obtain from 0 1 1 1 0 0 0 0 1 1 0 1 0 0 this: 1 3 4 2 1 1 2 so a string that gives me the number of repeated values, no matter zeros or ones. I've been diving in the manuals and the mailing list but,

Hi, All I have a data frame as follows: > attach(mf) > names(mf) [1] "centre" "complex" "appl" "pool" "month" "alloc_gb" I want to summarize this as follows: agg<-summarize(alloc_gb,by=llist(centre,complex,appl,month),FUN=sum, na.rm=TRUE) That seems to run fine but there something odd about the output. The

Hi all, I'm looking for a function with the same functionalities as Hmisc::summarize but accepting a dataframe as input (not just a vector or a matrix). I'd like to compute the correlation between two variables in my dataframe, grouped according to other variables in the same dataframe. For exemple, consider the following dataframe D: V1 V2 V3 A 1 -1 A 1 1 A -1 -1

I have a long numeric vector v (length N) and I want create a shorter vector of length N/k consisting of sums of k-subsequences of v: v <- c(1,2,3,4,5,6,7,8,9,10) N=10, k=3 ===> [6,15,24,10] I can, of course, iterate: > w <- vector(mode="numeric",length=ceiling(N/k)) > for (i in 1:length(w)) w[i] <- sum(v(i*k:(i+1)*k)) (modulo boundary conditions) but I wonder if

# Get mean, min, max sigma and skew by group options (digits = 3) library (ISwR data(energy) data %>% group_by(stature) %>% summarize( Mean = mean(expend), Min = min(expend), Max = max(expend), Sigma = sd(expend), Skew = skew(expend)) # Output stature Mean Min Max Sigma Skew <fct> <dbl> <dbl> <dbl> <dbl> <dbl> 1

I am not sure if your problem is similar to what we have just experienced. we are using samba 2.2.3a-12.3 on debian with winxp sp1 clients we are using roaming profiles first logon after reboot fails sortof Windows cannot find a server copy of roaming profile will logon with local profile funny thing we never saw any activity in hostname.log (seperate smb.log for each machine) smbstatus showed

I was using summarize() in a data set in which one of the levels of the by variable was "". The summary statistic was consistently off by one level and the "" level was not in the output data frame. I tried to report it as a bug, but I could not log into the Hmisc bug reporting website to do so. I searched for this in the email archives. If it's there, I failed to find

Hi, R people, I wonder if there is a statistics than can measure the correlation for more than two random variables, instead of computing the correlation coefficient matrix. If so, what R package should I use? Right now I can only think of the mean of all pair-wise correlation coefficients, e.g., (corr(x,y) + corr(x,z) + corr(y,z)) / 3 for three random variables (x, y, z). Thanks a