search for: rm202

read.table("bug.txt", header=TRUE) plotMeans(bug$tot, bug$station, error.bars="se", main="Total") The plot is ordered in this way HC RM190 RM198 RM202. I would like it to plot in this way HC RM202 RM198 RM190. thanks Stephen Is this okay or would you like the data to be copied and pasted into the message body. I am trying to optimize my postings. -- Let's not spend our time and resources thinking about things that are so little or so lar...

# I am sure that I could be more efficient than this but how? Thanks in advance. #GPS in Decimal Degrees in the form longitude latitude RM215 <- matrix(c(-82.1461363, 33.5959109), nrow=1) SC <- matrix(c(-82.025888, 33.606454), nrow=1) RM202 <- matrix(c(-81.9906723, 33.5027653), nrow=1) RM198 <- matrix(c(-81.926823, 33.4634678), nrow=1) HC <- matrix(c(-81.920505, 33.46192), nrow=1) RM190 <- matrix(c(-81.9317347, 33.3839097), nrow=1) BC <- matrix(c(-81.948189, 33.373043), nrow=1) RM185 <- matrix(c(-81.941, 33.3453), nr...

boxplot(x[,c(2,15,28,41,54,67,80,93,106)], ylab="mg/s", names=c("RM215", "RM202", "RM198", "RM190", "RM185", "RM179", "RM148", "RM119", "RM61")) this is the code I am using to make a standard box plot. Is there a way to get the number of NA observations plotted onto the graph easily. I can always go...

I can send data along, but it is too large for the list: I am using wmtsa and the function wavCWT I would like to use the range.scale to only evaluate a subset of frequencies. deltat of the time series that I am trying to analyze is 1 d = wavCWT(RM202.ts, range.scale = c(96, 2688)) and I get the error message Error in wavCWT(RM202.ts, scale.range = c(96, 2688) : Minimum scale must be greater than or equal to sampling interval of the time series I have tried many other integers in this argument and I can't get anything to work except delt...

...upstools/nut/pull/632/commits/3f5e3728a720aba0be76b2fccb603b04962bb904 > > I forget, is your copy of NUT built from an RPM? If so, it shouldn't be > too hard to add that patch to get load, charge, input voltage/frequency > and output voltage (assuming the RM205 is a superset of the RM202). This is Gentoo Linux so it's built from the latest source version in the repository. I would tend to make the same assumption about the RM205 vs. the RM202. > You can also use snmpwalk to see what other values might be available. > Since there is already a skeleton MIB mapping in NUT...

SO, my full load on my core UPS is two Dell R610s, one Sun X4540, one HP DL360p gen8, two six-core Thuban-II workstations plua their monitors, and the network stack and KVM. The APC SU3000RM (3KVA) that blew up last week considered this to be just short of 60% load. The new Cyberpower PR3000 (also 3KVA), wqhich operates at a 90% power factor, considers this same load to be 43% load. I wasn't

...thub.com/networkupstools/nut/pull/632/commits/3f5e3728a720aba0be76b2fccb603b04962bb904> I forget, is your copy of NUT built from an RPM? If so, it shouldn't be too hard to add that patch to get load, charge, input voltage/frequency and output voltage (assuming the RM205 is a superset of the RM202). You can also use snmpwalk to see what other values might be available. Since there is already a skeleton MIB mapping in NUT, the only two things needed are probably the snmpwalk outputs described at the end of this section: https://networkupstools.org/docs/developer-guide.chunked/ar01s04.html#sn...

...> wrote: > > On 1/27/19 9:13 PM, Charles Lepple wrote: >> I forget, is your copy of NUT built from an RPM? If so, it shouldn't be >> too hard to add that patch to get load, charge, input voltage/frequency >> and output voltage (assuming the RM205 is a superset of the RM202). > > This is Gentoo Linux so it's built from the latest source version in the > repository. If it is still showing version 2.7.4, then Gentoo must be picking up the latest tag, which is probably why that change isn't showing up on your system. 2.7.5 has been held up due to some...

...t the results of prepSEIS it has compressed (I think) all of the signals to one. x <- read.csv("testDO.csv", header=T) x.ts <- ts(x, deltat=4/60) a <-x.ts[,1] b <- x.ts[,2] c <- x.ts[,3] d <- x.ts[,4] GG <- prep1wig(wig = c(a, b, c, d), sta=c("RM215", "RM202", "RM198", "RM190", comp="DO", units="mg/L")) # I have also tried this without breaking it up into individual data frames xx <- prepREIS(GG) plot(x.ts) is what I want to go into PICK.GEN Any help would be greatly appreciated- I am sure I am missing...

...ure(list(Site = structure(c(9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L), .Label = c("BC", "HC", "RM119", "RM148", "RM179", "RM185", "RM190", "RM198", "RM202", "RM215", "RM61", "SC"), class = "factor"), Alkalinity = c(13, 13, 17, 17, 21, 21, 19, 14, 16, 15, 14, 14, 14, 15, 15, 9.7, 17, 14, 15, 14, 14, 15, 15, 15, 15, 15, 14), Arsenic = c(NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 0.00...