similar to: Capping outliers

I am calling quantiles as follows. I don't understand why sometimes the columns (data values) above 95% are returned as "NULL"!! When I drop the percentile down to 92%, I see colums appearing. Why would any quantile be empty? I see sometimes that 95% percentile is being chosen as "1" for my data between 0 and 1, where obviously there's no column value equal to 1. But

Hello all, Thanks in advance for you attention. I would like to generate a third value that represents the quantile value of a variable in a data frame. # generating data x <- as.matrix(seq(1:30)) y <- as.matrix(rnorm(30, 20, 7)) tmp1 <- cbind(x,y) dat <- as.data.frame(tmp1) colnames(dat) <- c("id", "score") dat # finding percentiles of "score"

System: Cenots Linux 6.9 Application: nut-2.7.5-0.20170613gitb1314c6 [with usb 0.1 from distro] Device: Mustek PowerMust 1060 LCD Comunication log file: dump.txt We are looking at the possibility of successful communicating with this device UPS Mustek PowerMust 1060 LCD. PS: wolfy on the list gives me assistance and i can install any new compiled nut version from sources. Thanks, Catalin.

Reviving an old thread. I haven't noticed this be a problem for a while when saving RDS's which is great. However, I noticed the problem again when saving `qs` files (https://github.com/traversc/qs) which is an RDS replacement with a fast serialization / compression system. I'd like to get an idea of what change was made within R to address this issue for `saveRDS`. My thought is that

Hello. I recently upgraded from Ubuntu Maverick to Natty and hence upgraded nut from 2.4.3-1ubuntu5 to 2.6.0-1ubuntu3. My Sven PowerPro+ 1000 UPS ( http://en.sven.ru/catalog/ups/power_pro_plus_1000.htm ) worked fine with the previous version, using megatec_usb driver, but doesn't work with the current version, since megatec_usb is no longer available. Here is the output from blazer_usb.

Hi, I am trying to get NUT 2.7.2 working on my Solaris 11.2 system with a PowerWalker 2000 VI PSW UPS. I have carefully configured the software such that it 'works' using custom values in the ups.conf file: driver = nutdrv_qx port = auto desc = "my UPS" protocol = voltronic-qs subdriver = cypress vendorid = 0665 productid = 5161 The problem I'm experiencing is that after a

Hi, I am looking into a way to hook into the R coercion framework to allow me to convert table-like data stored within a COM object into a data.frame. Some of our COM objects have their own table-like data storage, and from R's point of view it's an object (EXTPTRSXP) decoarated with a sepcial symbol so we can easily identify it. COM_Table <- a_method_that_creates_the_object()

Hello i need your help regarding the following issue : i have a hero touch ups from infosec. it is connected via USB to a raspberry pi 3. i?ve configure ups.conf file as below [HERO] driver = blazer_usb vendorid = 0665 productid = 5161 either with port = auto or port = /dev/hidraw0 or port = /dev/ttySo the connection never works i get the

n <- 10 P1 <- runif(n) P2 <- runif(n) P3 <- P1 + P2 + runif(n)/100 P4 <- P1 + P2 + P3 + runif(n)/100 mydata <- data.frame(cbind(P1,P2,P3,P4)) mydata[1,1] <- 8 mydata[3,1] <- -5 mydata[2,3] <- -6 mydata[7,3] <- 7 f=function(z){quantile(z, c(0.01, 0.99)) } temp1 <- lapply(mydata, f) temp1 $P1 1% 99% -4.542391 7.354209 $P2 1% 99%

Dear List, I have a data frame with approximately 500000 rows that looks like this: ?Date??? time??? value ? 19.07.1956????????? 12:00:00?????????????? 4.84 19.07.1956????????? 13:00:00?????????????? 4.85 19.07.1956????????? 14:00:00?????????????? 4.89 19.07.1956????????? 15:00:00?????????????? 4.94 19.07.1956????????? 16:00:00?????????????? 4.99 19.07.1956????????? 17:00:00?????????????? 5.01

Thank you for the rapid response. I will try and investigate getting answers to some of your points but I'm a little new to Solaris so I'll need some time. Glancing at the configure output, it looks like it built against v0.1.7 of libusb (yes i think that is derived from the one you mention), checking for libusb version via pkg-config... 0.1.7 found checking for libusb cflags... checking

I have a data with the sequence of events with millions records and more than 24 time stamped variables. sample data: 1 2 3 4 5 6 7 8 9 10 A A A C C C B B D D D D D D D C C C C C B B A C A C C C D D I want to predict sequence for next 3 period. How this can be achieved using R. Is there any package/function in R do this. I have gone through the document for package "TraMineR" but not

Hi, quick(?) question: Has anybody seen that problem below? More important question: Did anybody solve that? This is my smb.conf (well, only the most important parts): [global] workgroup = FOOBAR server string = My Server map to guest = Bad User preferred master = No local master = No domain master = No dns proxy = No [on3] comment = Audio-Video-Imports path

Hi, Has anyone seen any documentation on the Hash Object defined in the prototype library? To be precise the following methods - 1. keys 2. values 3. toQueryString 4. inspect 5. Merge I am trying to play around with them and have come up with the following examples - var h = $H({name: "john doe", email: "john-Ch9RrZxMC0c@public.gmane.org", msg: "say hello to

2013/12/9 Fabio Cecamore <ceca_89 at hotmail.com>: > and the UPS don't wake up after the whiteout.. 2013/12/6 Fabio Cecamore <ceca_89 at hotmail.com>: > desc = "AtlantisLand Host Power 851+" Is your UPS an 'Atlantis Land Host Power 851' or an 'Atlantis Land One Power 841+'? The first one should be using a slighty modified version of the

Hi, what is meaning this errors !!! Error in names(o.pr)[p.ok] <- names(qs) :   incompatible types (from NULL to character) in subassignment type fix In addition: Warning message: In Ops.factor(from, (0:(length.out - 1)) * by) :   + not meaningful for factors thank you very much [[alternative HTML version deleted]]

I have written a very simple function to return the match count based on the simplesearch.cc code. It fails with a seg fault. The relevant code is: -------------------- int ftQuery(char* qs, const char* dbname,char* results, int msize) { long docid; char* op; char fullDB[1024]; string queryString;

Hi Jan, I am now reading quota support in ocfs2 and have some qs. Wish you can help me clarify it. Thanks. ocfs2_quota_write: In the comment, you said that "we know the transaction is already started", so it should be called within a transaction. But in this function, we call ocfs2_extend_no_holes and ocfs2_simple_size_update which will start another transaction. So we can survive

Hi List, I want to read several parameters from data frame and load them as object into R session, Is there any package or function in R for this?? Here is example param <-c("clust_num", "minsamp_size", "maxsamp_size", "min_pct", "max_pct") value <-c(15, 20000, 200000, 0.001, .999) data <- data.frame ( cbind(param , value)) data

Hola Javier, Intenta los siguientes cambios g4 <- function(codigo_llega, n_caracteres){ codigo_llega <- as.character(codigo_llega) if(n_caracteres == 6) res <- substr(codigo_llega, start=0, stop=4) else res <- codigo_llega res } g4 <- Vectorize(g4) x <- c('Jorge Velez','Javier Marcuzzi','Daniel Merino','Susana deus Alvarez', 'Carlos