similar to: subsetting and NAs

development.log contains quite a few SELECTS on system tables like COLUMNS. Wouldn''t it be more efficient to cache this info? I''m also wondering about strings like "[4;35;1m". What''s their purpose and is it possible to get rid of them? They look like screen coordinates and makes no sense in a text file. Christer Processing ReportController#create (for

This statement works correct in my controller (list action): @reports = Report.find_by_sql("SELECT r.* FROM reports AS r INNER JOIN Users AS u ON r.user_id = u.id WHERE " + cond + " ORDER BY flightnumber, flightdate") This statement does not: @reports = Report.find(:all, :order => "flightnumber, flightdate", :conditions => cond, :joins => "AS r INNER

Hi all, I have this figure: http://docs.google.com/Doc?id=df5zfsj4_103rjt2v4d5 created with the following steps: > x [1] 90.4 57.8 77.0 103.7 55.4 217.5 68.1 85.3 152.0 113.0 97.1 89.9 [13] 68.1 83.7 77.4 34.5 104.9 170.3 88.6 88.1 108.8 77.4 85.6 82.7 [25] 81.3 108.0 49.5 71.0 85.7 99.3 203.5 275.9 51.1 84.8 16.5 72.6 [37] 160.5 158.3 136.7 140.0 98.4 116.1

Hi, I want to remove the entire row from the dataset if any of the row contains blank or NA my dataset look like State Year Y X2 X3 X4 X5 X6 State1 1960 27.8 397.5 42.2 50.7 78.3 65.8 State2 1960 29.9 413.3 38.1 52 79.2 66.9 State1 1961 29.8 439.2 40.3 54 79.2 67.8 State2 1961 30.8 459.7 39.5 79.2 69.6 State1 1962 31.2 492.9 37.3 54.7 77.4 68.7 State2 1962 528.6 38.1 80.2 73.6 State1 1963

hello, > subset(swiss, Agriculture > 60 & Examination != c(14,16), select = c(Agriculture,Examination,Catholic)) Agriculture Examination Catholic Broye 70.2 16 3.30 Glane 67.8 14 4.20 Aigle 62.0 21 5.16 Avenches 60.7 19 5.23 Cossonay 69.3 22 5.62

Hi, First let me thank you for the incredible help and resource that this forum is. I am trying to compare the repeated measurement of more than 100 analytes that have been take in 70 subjects at 2 time points adjusted for the time difference of sample times(TimeDifferenceDays), therefore I wanted to do it with a function that allows me to do all at once. (131 is the column difference that

I've been doing unix sys. admin for nearly 20 years and yet EVERY single time I have to setup samba I have configuration problems. Before we start let's clear up some common misunderstandings: I have googled for the answer. I have spent the last six hours doing so and trying various "suggestions". Most of these suggestions point to solutions involving chown or chmod. These are

Great work guys :) Simple Q for ya. Is there a way to reset a DOM elements state after using a combination effect ? I search around but couldn''t see anything in the docs. Example I have a DIV that periodically appears. The user acknowledges the dialog by clicking the DIV, causing an Effect.Puff() to fire. Now, when the DIV reappears next run, it''s state starts off set

hello, I'd like know how to sort a data frame in R for example how I should do to sort by Catholic with swiss data frame like below thanks Fertility Agriculture Examination Education Catholic Infant.Mortality Courtelary 80.2 17.0 15 12 9.96 22.2 Delemont 83.1 45.1 6 9 84.84 22.2

Hello, I've got a small dataset on box turtle shell measurements that I would like to perform a detrended correspondence analysis on. I thought that it would be interesting to examine the morphometrics for each species in the area of overlap and in areas where neither species occurs.  I've taken a look at the dune and dune.env datasets in vegan. Using the str() command gives me  >

Hi I'm getting the intercepts of the Random effects as 0. Please help me to understand why this is coming Zero This is my R code Data<- read.csv("C:/FE and RE.csv") Formula="Y~X2+X3+X4 + (1|State) + (0+X5|State)" fit=lmer(formula=Formula,data=Data) ranef(fit). My sample Data State Year Y X2 X3 X4 X5 X6 S2 1960 27.8 397.5 42.2 50.7 78.3 65.8 S1 1960 29.9 413.3 38.1

Dear R users, I have more of a statistical/econometric question than straight R one. I have a data set with the discrete hazard rate of small firms survival on 400 counties over a period of 9 years. This data was generated using census information from the VAT registration number of each one of these business. I would like to analyze the effect of regional factors (deprivation index, real

Hi I'm getting the intercepts of the Random effects as 0. Please help me to understand why this is coming Zero This is my R code Data<- read.csv("C:/FE and RE.csv") Formula="Y~X2+X3+X4 + (1|State) + (0+X5|State)" fit=lmer(formula=Formula,data=Data) ranef(fit). My sample Data State Year Y X2 X3 X4 X5 X6 S2 1960 27.8 397.5 42.2 50.7 78.3 65.8 S1 1960 29.9 413.3 38.1

Both get.hist.quote, and its derivative priceIts, rely on download.file() to fetch financial data series from Yahoo! in .csv format. They allow for nice interactive demonstrations of what one can do with R. Unfortunately, both are currently broken as Yahoo! decided to add a somewhat useless html comment at the end of the csv 'stream', breaking the regular format of n rows with k columns.

Hi, I hope there''s someone here who can possibly provide some assistance. I''ve had this read problem now for the past 2 months and just can''t get to the bottom of it. I have a home snv_111b server, with a zfs raid pool (4 x Samsung 750GB SATA drives). The motherboard is a ASUS M2N68-CM (4 SATA ports) with an Athlon LE1620 single core CPU and 4GB of RAM. I am using it

Dear best guys, I really love 5.3 in many ways but here're some unbelievable transfer rates, after I went out and bought a pair of Intel GigaBit Ethernet Cards to solve my performance problem (*laugh*): (In short, see *** below) Tests were done with two Intel GigaBit Ethernet cards (82547EI, 32bit PCI Desktop adapter MT) connected directly without a switch/hub and "device

Dear Community, I have been using two types of survival programs to analyse a data set. The first one is an R function called aftreg. The second one an STATA function called streg. Both of them include the same analyisis with a weibull distribution. Yet, results are very different. Shouldn't the results be the same? Kind regards, J -- View this message in context: