search for: humidity

...special black up APC cable, not the grey one. I know the Matrix UPS is capable of much more than this, as using the APC software from a Windows box gives full functionality, but I need something that runs under Linux. Here's some debugging output if it is of any help: upsc gives: ambient.humidity: 019.2 ambient.humidity.alarm.maximum: NO,NO ambient.humidity.alarm.minimum: NO,NO ambient.temperature: 24.13 ambient.temperature.alarm.maximum: NO,NO ambient.temperature.alarm.minimum: NO,NO driver.name: apcsmart driver.parameter.port: /dev/ttyS0 driver.version: 2.0.2 driver.version.internal: 1.99...

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. If you submit via the serial port the commands 'T&...

...with the linetype "twodash", while the blue line with the linetype "solid"? For convenience, I copied the codes as follows. ######## p <- ggplot(obs, aes(x = Timestamp)) p <- p + geom_line(aes(y = air_temp, colour = "Temperature")) # adding the relative humidity data, transformed to match roughly the range of the temperature p <- p + geom_line(aes(y = rel_hum/5, colour = "Humidity")) # now adding the secondary axis, following the example in the help file ?scale_y_continuous # and, very important, reverting the above transformation p &...

...sponse (total) and two continuous covariates and one categorical explanatory variable (semio). When I run the following lines, after loading the data and assigning 'semio' as a factor, taking into account that I want to consider two way interactions: > model.a<-glm(total~(temperature+humidity+semio)^2,family=poisson) > summary(model.a) I get the output below. But not all interactions are listed there are 4 semio categories, 1,2,3 and 4 but only 2,3,and 4 are listed in the summary (semio2,semio3,semio4). And I cant for the life of me work out why category one (semio1) is being ignore...

...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 + guides(colour=guide_legend(override.aes=list(linetype=override.linetype))) p <- p + scale_colour_manual(values = c("blue", "red")) p <- p + scale_linetype_manual(values = c("twodash", "solid"),guide=FAL...

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", linetype="Humidity")) and p <- p + scale_linetype_manual(values = c("twodash", "solid")), I will have two lines with different color and different line type, but I will have two leg...

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...

...otes terminal node 1) root 14 9 rain (0.2857143 0.3571429 0.3571429) 2) Temperature< 71.5 6 2 rain (0.1666667 0.6666667 0.1666667) 4) Temperature< 64.5 1 0 overcast (1.0000000 0.0000000 0.0000000) * 5) Temperature>=64.5 5 1 rain (0.0000000 0.8000000 0.2000000) 10) Humidity>=75 3 0 rain (0.0000000 1.0000000 0.0000000) * 11) Humidity< 75 2 1 rain (0.0000000 0.5000000 0.5000000) 22) Temperature< 67 1 0 rain (0.0000000 1.0000000 0.0000000) * 23) Temperature>=67 1 0 sunny (0.0000000 0.0000000 1.0000000) * 3) Temperature>=71.5 8 4...

...1|Field_in_season/Field) >From various reads, I understand that in RDA I should not only use the strata = Plot argument, but allow for permutation of measurements within field_in_season, and for permutations among Field_in_season. So that would be : > rda_repeated = anova(rda(Community~LU + Humidity, data = env), by = 'term', permutation = how(within = Within(type = "series", mirror = TRUE), plots = Plots(strata = Field_in_season, type = "series"), blocks = Field)) Is that right ? In the output I get very similar results and ?Permutation : free? in both cases, whic...

Dear friends, I used R and SAS to analyze my data through generalized linear model, and there is some difference between them. Results from R: glm(formula = snail ~ grass + gheight + humidity + altitude + soiltemr + airtemr, family = Gamma) Deviance Residuals: Min 1Q Median 3Q Max -1.23873 -0.41123 -0.08703 0.24339 1.21435 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 2.024e-02 1.655e-02 1.223 0...

...cal information about the corresponding covariates. Maybe you have some advice for me, although this problem might only be 70% R and 30% statistically-related. Here's a detailled explanation: SITUATION & OBJECTIVE: I want to analyze the effect of environmental effects (i.e. temperature and humidity) on the lifetime of some wear-parts. The study should be conducted on a yearly basis, meaning that I have collected empirical data on every wearpart at the end of every year. DATA: I have collected the following data: - Status of the wear-part: Equals "0" if part is still alive, equals &...

...erature. My aim is to create a list of dependent and independent variables and automate the process rather than writing every dependent and independent variable in each model as I have done below. Example data is provided by the following library: library(faraway) data(ozone) mo3 <- glm(O3 ~ humidity + ibh + ibt, data=ozone) mtemp<- glm(temp ~ humidity + ibh + ibt, data=ozone) Thanks [[alternative HTML version deleted]]

...internally in earth's C code, the search for knots is highly optimized and any extra code in there to possibly call a user-defined function would slow down earth considerably. > 2) Is it possible to restrict the algorithm to generate maximum > number of terms per a selected variable e.g. humidity? e.g. 1 > term instead of 2? Not possible in the current implementation. This would require modifying earth to include an extension to the backward pass to call a user-defined function (similar to "allowed"). That would be a lot of work. -------------------------------------------...

Sorry for the extra email. It send to quickly. procmail: Assigning "SUBJECT= Tornado Monday, 03/27/2017 at 20:27:02. The Point BB.OBSURGRH is" jerry

Ah yes I will have to use the predict function. But the predict function will not get me there really. If I can take the example that I have a model predicting whether or not I will play golf (this is the dependent value), and there are three independent variables Humidity(High, Medium, Low), Pending_Chores(Taxes, None, Laundry, Car Maintenance) and Wind (High, Low). I would like rules like where any record that follows these rules (IF humidity = high AND pending_chores = None AND Wind = High THEN 77% there is probability that play_golf is YES). I was thinking that...

Hi guys, Sorry for the OT. For the last couple of weeks I notice that the static in my server room is worrisomely noticeable. I cannot see what may be causing it.... Care to share some of your experience what may be the cause and the remedy? Thank you.

...and prunning pass, and hinge functions selection in the example below. 1) How could I force the algorithm to generate knots in hinge function only with values < 90 for e.g. variable doy? 2) Is it possible to restrict the algorithm to generate maximum number of terms per a selected variable e.g. humidity? e.g. 1 term instead of 2? Thanks a lot. rasti >library(faraway) >data(ozone) >a=earth(O3~.,data=ozone) >summary(a) Call: earth(formula=O3~., data=ozone) coefficients (Intercept) 8.6910756 h(vh-5740) 0.0152607 h(5740-vh) -0.0130076 h(9-wind)...

I have a SmartUPS 750 (SUA750) which has the temperature and humidity SmartSlot card installed. When NUT 2.2 communicates with this UPS over /dev/ttyS0 using apcsmart, using the APC Smart cable connected to the SUA750 serial port, and this ups.conf: [su700] driver=apcsmart port = /dev/ttyS0 I can see the ambient temperature and humidity data wit...

Hi All, Days <- matrix(c("Monday", "Tuesday", "Wed", "Thu", "Fri", "Sat", "Sun"),7,1) Hum <-matrix(c(56,57,60,75,62,67,70), Temp<-matrix(c(76,77,81,95,82,77,83), Using the above information I want plot humidity and temperature on Y-axis and days on X-axis Any help is appreciated! [[alternative HTML version deleted]]

Hi, Being a novice this is my first usage of R. I am trying to use rpart for building a decision tree in R. And I have the following dataframe Outlook Temp Humidity Windy Class Sunny 75 70 Yes Play Sunny 80 90 Yes Don't Play Sunny 85 85 No Don't Play Sunny 72 95 No Don't Play Sunny 69 70 No Play Overcast 72 90 Yes Play Overcast 83 78 No Play Overcast 64 65 Yes Play Overcast 81 75 No Play The first line indicating the header. When I use the formula...