similar to: Reading selected lines in an .html file

I'm using a very long irregular time-series of air temperature and relative humidity of this kind (this is an extract only) its.format("% Y%d%m %X) > base T H 20020601 12.00.00 27.1 47 20020601 15.00.00 29.1 39 20020601 18.00.00 27.4 39 20020601 21.00.00 24.0 40 20020602 0.00.00 22.0 73 20020602 3.00.00 19.2 49 20020602 6.00.00 19.5 74 20020602

Each day the daily balance in the following link http://www. snamretegas.it/italiano/business/gas/bilancio/pdf/bilancio.pdf is updated. I would like to set up an R procedure to be run daily in a server able to read the figures in a couple of lines only ("Industriale" and "Termoelettrico", towards the end of the balance) and put the data in a table. Is that possible? If

Take this as an example: > a=data.frame(col1=c(1,2,3,4,5), col2=c ("my","beloved","daughter","son","wife")) > b=data.frame(col1=c(1,2,4), col2=c("my","beloved","son")) > a col1 col2 1 1 my 2 2 beloved 3 3 daughter 4 4 son 5 5 wife > b col1 col2 1 1 my 2

Dear All, I'm happily extracting data of temperature from an oracle db under R via RODBC. After manipulating the extracted data I put them into a data.frame 'dati' which is as follows: > dati DATA tm. UDINE/RIVOLTO tm.TORINO/CASELLE 1 2005-07-01 22.35 23.80 2 2005-07-02 22.70 22.85 3 2005-07-03 23.80

I need to read data from from a medical appliance via the serial port. This medical appliance produces streams of set data at regular intervals. What commands, packages are available for this purpose? Vittorio

I have these two dataframes in which 'id' is the key field > tabella id nome 1 1 PIEMONTE 2 2 VALLED'AOSTA 3 3 LOMBARDIA 4 4 TRENTINO 5 5 VENETO 6 6 FRIULI AND > tab id nome 1 1 PIEMONTE 2 2 VALLED'AOSTA 3 3 LOMBARDIA 4 4 TRENTINO 5 25 CAMPANIA 6 28 LAZIO Is there any

Hello, I can get nut to work with this UPS using the apcsmart driver, but only with limited functionality. It is only reporting the OL/OB status and that's about it. None of the other useful variables such as run time, load etc are reported and initiating battery tests does not work either. Has anyone managed to get nut to report more than these variables with a Matrix type UPS? I see

Hi, We have a several AP9612TH environmental cards (they have 2 probe connectors) inserted into our APC UPS devices which monitor temperature and humidity. The apcsmart nut module knows how to query the ambient.temperature and ambient.humidity using the 't' and 'h' commands of the UPS (refer to apcsmart.h). The results of the 't' and 'h' commands are from probe 1.

Hi, To my knowledge, an excellent of ggplot with a second y-axis is https://rpubs.com/MarkusLoew/226759 In this example, the author uses two colors for the two lines, but the line shapes are the same -- both are solid. Could each line have its own color as well as its own shape? For example, can I make the red line with the linetype "twodash", while the blue line with the

Hi I am using R version 2.7.2. on a windows XP OS and have a question concerning an analysis of covariance with count data I am trying to do, I will give details of a scaled down version of the analysis (as I have more covariates and need to take account of over-dispersion etc etc) but as I am sure it is only a simple problem but I just can't see how to fix it. I have a data set with count

In what R package(-s) can I find the entire set of financial functions that you can find in MS-Excel such as PMT, PPMT, FV and IPMT? Ciao Vittorio

At office I have been introduced by another company to new, complex energy forecasting models using gams as the basic software. I have been told by the company offering the models that gams is specialised in dealing with huge, hevy-weight linear and non-linear modelling (see an example in http://www.gams.com/modtype/index.htm) and they say it is almost the only option for doing it. I would

Sorry let me clarify. If I modify the line p <- p + geom_line(aes(y = air_temp, colour = "Temperature")) by p <- p + geom_line(aes(y = air_temp, colour = "Temperature", linetype ="Temperature")) and p <- p + geom_line(aes(y = rel_hum/5, colour = "Humidity")) by p <- p + geom_line(aes(y = rel_hum/5, colour = "Humidity",

Hi John, You can try the following: override.linetype=c("twodash","solid") p <- ggplot(obs, aes(x = Timestamp)) p <- p + geom_line(aes(y = air_temp, colour = "Temperature", linetype ="Temperature")) p <- p + geom_line(aes(y = rel_hum/5, colour = "Humidity", linetype="Humidity")) p <- p +

In the text file pressione2008.csv I have the following "Data","MAX","MIN","Note" "07-01-2008 08:00:00", 135, 90, "Eccessi feste, inizio dieta" "07-01-2008 18:00:00", 135, 85, "" "08-01-2008 08:00:00", 125, 75, "" which is a collection of blood pressure data at different time of the day. I would

I receive the following meteo dataset regularly, containing the average daily temperatures (tMedia) of a certain month for 24 selected meteo-stations (COD_WMO) whose human-readable names are in (NOME). str(tabella) `data.frame': 1038 obs. of 4 variables: $ COD_WMO: int 16045 16045 16045 16045 16045 16045 16045 16045 16045 16045 ... $ NOME : Factor w/ 24 levels

Hi, We have several APC Smart UPSes (serial port/apcsmart) with the APC Temp/Humidity sensor cards (AP9612TH). The sensor cards have 2 plugs for 2 separate sensors. So far, we have only used one of the sensors in conjunction with the apcsmart module from nut. This has been working great. Example output: [nut at nut]# upsc APC11 ambient.humidity: 037.2 ambient.humidity.alarm.maximum: NO,NO

http://www.wunderground.com/weather/api/ -----Original Message----- From: asterisk-users-bounces at lists.digium.com [mailto:asterisk-users-bounces at lists.digium.com] On Behalf Of dk at donkelly.biz Sent: Wednesday, December 16, 2015 9:20 AM To: 'Asterisk Users Mailing List - Non-Commercial Discussion' Subject: Re: [asterisk-users] weather.agi -----Original Message----- From:

Dear friends, I have used R for some time now and have a tricky question about the coxph-function: To sum it up, I am not sure whether I can use coxph in conjunction with missing covariate data in a model with time-variant covariates. The point is: I know how "old" every piece that I oberserve is, but do not have fully historical information about the corresponding covariates. Maybe you

Perhaps I'm missing a real, stupid point but I can't understand the following behaviour: > strptime("30 march 2008 02:30 AM",format="%d %B %Y %I:%M %p") [1] "2008-03-30 02:30:00" > strptime("30 march 2008 00:30 AM",format="%d %B %Y %I:%M %p") [1] NA Why times 00:nn are not available and how solve this? Ciao Vittorio