search for: oiled

I have a plotting function that is plots a multi-panel plot, with the x-axis as a date and various y-axes. I would like to control the frequency of the X-axis labels, ticks and grid lines. However with the following code I get no annotation on the X-axis at all. Here is a minimal data.frame Case Days Well Stream Value 1 Observed 0 P-1 Oil 1000.807785 2 Observed 31

...from before-after control-impact studies. J. Agric. Biol. Envir Stat., 5:262-279) Data were collected from 1984, 1989, 1990, 1991, 1993, and 1996. Samples from 1984 are considered as before an impact and the remaining years as after the impact. Each year, 96 transects were sampled (36 in the oiled area and 60 in the non-oiled area; "0" is for oiled and "1" for non-oiled). The authors compare 3 different ways of analysing the data including glmm. The data can be reproduced with the following commands (density is fake numbers but I can provide the original data since I...

Hi, All: I am new to R and tm package. I'm trying to do the stemming using tm_map() and it doesn't seem to work: *I used:* > stemDocument(t_cmts[[100]]) *Where t_cmts is the corpus object, the results is:* bottle loose box abt airpak sections top plastic bottle squashed nearly flush neck previous shipments bottle wrapped securely bubble wrap wno bottle damage packaging poor

Dear all, I want to draw ticks on the 3rd and 4th row of a lattice. How do I do this ? In my search of the help, I discovered a parameter alternating,which kind of says where the ticks will be but does not suffice for me. I am running this command : - barchart(X03/1000~time|Company, data=df1[which(df1$time!=1),], horiz=F,

>> The tomshardware-guys (no gals would do this...) have removed the >> fans, and immersed the innards of the computer in a sealed cabinet >> filled with cooking oil. So they have a completely silent machine >> in 40C warm oil. Amazing... It certainly is. And, I suppose, this will work, for a while, as long as: The "sealed cabinet", has enough expansion

I am trying to reproduce the output of a time series example in Koop's book "Analysis of Financial Data". Koop does the example in Excel and I used the ts function followed by the lm function. I am unable to get the exact coefficients that Koop gives - my coefficients are slightly different. After loading the data file and attaching the frame, my code reads: > y = ts(m.cap) >

Dear All, I have a time series daily data with date are stored ( %dd-%mm-%yy format ) from 22-01-20 to 03-08-21. In total I have 560 observations. I am using the following command to declare as a time series object. Here the the data set is 7 days a week. oil <- read_xlsx("crudefinal.xlsx") pricet=ts(oil$price, start = c(2020, 22), freq = 365)

I have spent hours on R in Windows 7. Just installed 2 days ago so the R package should be current. Currently I am using the RGui (64-bit) for Windows. I can not read an Excel file into R from my computer. Have hours on this. Completely crazy!! I have the XLConnect package loaded. I think it is loaded because when I enter: > loadedNamespaces() [1] "base"

Dear group, I have these 2 following data frame: allcon <- structure(list(DESCRIPTION = structure(1:17, .Label = c("COFFEE C Jul/10", "COPPER May/10", "CORN Jul/10", "CORN May/10", "COTTON NO.2 Jul/10", "CRUDE OIL miNY May/10", "GOLD Jun/10", "HENRY HUB NATURAL GAS May/10", "ROBUSTA COFFEE (10)

?s 20:52 de 16/01/2023, Upananda Pani escreveu: > Hi Rui, > > Thank you so much for your help. As I have to fit a Markov Switching Model > using MSwM package. > > May I know whether i can convert from zoo object to a time series object. > > As I have to use several packages which uses ts so I am not able to decide > how to do it. > > Grateful to you for your

Folks, As the subject describes: I would like to know if there are packages that have functionality tailored for standard Oil/Gas exploration and monetization. Thanks, KW -- [[alternative HTML version deleted]]

Dear group, I have 3 data frames I would like to merge. Here they are: pose16 <- structure(list(DESCRIPTION = structure(c(1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 12L), .Label = c("COPPER May/10", "COTTON NO.2 Jul/10", "CRUDE OIL miNY May/10", "GOLD Jun/10", "ROBUSTA COFFEE (10) Jul/10", "SOYBEANS Jul/10", "SUGAR NO.11

The first thing to do in tuesday is to get in on EQTD. It will SOAR up next week. There will be more than 100% appreciation within the first few hours, so do it without delay. With oil markets retreating, big traders are turning to gold, driving it to levels never before seen. EQTD has made an advertisement of staggering proportions related to a recent survey on one of their gold properties.

Hi, I have constructed a dataframe as follows: Oil <- rep(c("Oil1","Oil2","Oil3"),8) Comp <- rep(rep(c("C1","C2"),c(4,4)),3) Mth <- rep(c("M1","M1","M2","M2"),6) Meas <- rep(c(1,2),12) Result <- rnorm(24,mean=100, sd=5) df <- data.frame(Oil, Comp, Mth, Meas, Result) The same compound

Hi I discovered a similar problem early this week and a colleage on irc was told it was a copy and paste error. in man syslogd, the following can be found: Sucker rod def. -- 3/4, 7/8 or 1in. hardened steel rod, male threaded on each end. Primary use in the oil industry in Western North Dakota and other locations to pump 'suck' oil from oil wells. Sec- ondary

The first thing to do in tuesday is to get in on EQTD. It will SOAR up next week. There will be more than 100% appreciation within the first few hours, so do it without delay. With oil markets retreating, big traders are turning to gold, driving it to levels never before seen. EQTD has made an advertisement of staggering proportions related to a recent survey on one of their gold properties.

Hello, Today I was benchmarking DV video on a AMD64: skinkie@zwartepiet ~ $ cat /proc/cpuinfo processor : 0 vendor_id : AuthenticAMD cpu family : 15 model : 47 model name : AMD Athlon(tm) 64 Processor 3500+ stepping : 0 cpu MHz : 2210.197 cache size : 512 KB fpu : yes fpu_exception : yes cpuid level : 1 wp : yes

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Dear All, I hope this is not too off-topic. Essentially, I need to know if there is any R package which can help me with a deformulation project. Suppose e.g. that you know from a chemical analysis the fat, mineral, vitamin, energy [and so on] content of a certain food product. You also know the ingredients of this product (e.g. milk, lactose, vegetable oil) and you know the chemical

Dear list, here are my two data frames: av <- structure(list(DESCRIPTION = c("COFFEE C Sep/10", "COPPER Sep/10", "CORN Dec/10", "CRUDE OIL miNY Sep/10", "GOLD Aug/10", "HENRY HUB NATURAL GAS Sep/10", "PALLADIUM Sep/10", "SILVER Sep/10", "SOYBEANS Nov/10", "SPCL HIGH GRADE ZINC USD", "SUGAR