search for: wheat

At the moment I've no host with which to test ppp/lp things on. If you (or anyone) could provide complete regexes, (each beginning with ^ and ending with $) I will patch the rules accordingly. If not, sending the full log lines is a good start. Thanks! -- [ Todd J. Troxell ,''`. Student, Debian GNU/Linux Developer, SysAdmin, Geek :

I'm trying to read two data sets in json format from a single .js file. I've tried fromJSON() in both RJSONIOIO and RJSON packages, but they require that the lines be pre-parsed somehow in ways I don't understand. Can someone help? > wheat <- readLines("http://mbostock.github.com/protovis/ex/wheat.js") > str(wheat) chr [1:70] "var wheat = [" " { year: 1565, wheat: 41, wages: 5 }," ... > The wheat.js file looks like this and defines two tables: wheat and monarch: var wheat = [ { year:...

...nlinear regression (nls) to analyze some seed germination data, but am having problems with error codes. The data that I have closely matches the germination dataset included in the drc package. Here is the head of the data temp species start end germinated TotSeeds TotGerminated Prop 1 10 wheat 0 1 0 20 0 0.0 2 10 wheat 1 2 0 20 0 0.0 3 10 wheat 2 3 0 20 0 0.0 4 10 wheat 3 4 0 20 0 0.0 5 10 wheat 4 5 0 20 0...

Dear R-users, I have a dataset as like below, and I want to subtotal the values of rice,wheat and maize by year for each fid. fid      year     rice     wheat      maize ------------------------------------------------ 1        1995      5        NA           NA 1        1995      NA        3           NA 1        1995      NA       NA           2 1        1996      4        NA           N...

Every hour I get a mail from logcheck with a line like Nov 6 12:08:34 wheat fetchnews[13617]: clamping maxage for comp.os.linux.admin to global expire 50 The strange thing is that syslog is filled with similar lines, but this is the only one I get in the report. It is the last such line in each group: # many similar lines deleted Nov 6 12:08:32 wheat fetchnews[13617]: co...

...increase your chance to get some answer. I changed your data to groupedData object (see below), but I did not find any problem in it. plot(wlg) gives reasonable picture and I am not such expert to see any problem with data. Seems to me, that something has to be wrong with nlsList function. > wheat.list <- nlsList(Prop ~ SSlogis(end,Asym, xmid, scal), data=wlg) Warning message: 6 times caught the same error in lm.fit(x, y, offset = offset, singular.ok = singular.ok, ...): NA/NaN/Inf in 'x' produces empty list. So maybe others could find some problem. Cheers Petr > dput(wlg) s...

...meric as I couldn't find any clear answer. Here is my df : Pose1 <- structure(list(DESCRIPTION = structure(c(1L, 2L, 3L, 4L, 5L, 8L), .Label = c(" SUGAR NO.11 May/10 ", "COTTON NO.2 May/10 ", "PLATINUM Jul/10 ", "ROBUSTA COFFEE (10) May/10 ", "WHEAT May/10 ", "PRIMARY NICKEL USD", "PRM HGH GD ALUMINIUM USD", "SPCL HIGH GRADE ZINC USD", "STANDARD LEAD USD"), class = "factor"), POSITION = c(5, 3, -1, 15, 4, 2), SETTLEMENT = structure(c(3L, 5L, 2L, 1L, 4L, 8L), .Label = c("1,353.0000&...

I have a data frame called "pose": DESCRIPTION QUANITY CLOSING.PRICE 1 WHEAT May/10 1 467.75 2 WHEAT May/10 2 467.75 3 WHEAT May/10 1 467.75 4 WHEAT May/10 1 467.75 5 COTTON NO.2 May/10 1 78.13 6 COTTON NO.2 May/10 3 78.13 7 COTTON NO.2 May/10 1 78.13 I wo...

...;GOLD Jun/10", "HENRY HUB NATURAL GAS May/10", "ROBUSTA COFFEE (10) Jul/10", "SILVER May/10", "SOYBEANS Jul/10", "SPCL HIGH GRADE ZINC USD", "STANDARD LEAD USD", "SUGAR NO.11 Jul/10", "SUGAR NO.11 May/10", "WHEAT Jul/10", "WHEAT May/10"), class = "factor"), pl = c(4.75000000000003, -14, -1.5, 7.75, 3.74999999999999, 5.22500000000005, 21.6999999999998, -0.0490000000000013, 68, 45.300, -8.5, -41, -118, 2.72999999999999, -0.900000000000002, -64.25, 0), quantity = c(...

...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 Jul/10", "SUGAR NO.11 May/10", "WHEAT Jul/10", "PRIMARY NICKEL USD", "PRM HGH GD ALUMINIUM USD", "SPCL HIGH GRADE ZINC USD", "STANDARD LEAD USD"), class = "factor"), POSITION = c(2, -3, -2, -2, -18, -3, -5, 1, -5, 1), prix = c(702.9, -244.77, -166.48, -2273.8, -24876, -2...

...time to make it elegant and to document it, I thought I would check if I have overlooked an existing way of doing this. Here is an example > library(Devore5) > data(ex10.09) > boxplot(ex10.09) > str(ex10.09) # show the structure `data.frame': 6 obs. of 4 variables: $ Wheat : num 5.2 4.5 6 6.1 6.7 5.8 $ Barley: num 6.5 8 6.1 7.5 5.9 5.6 $ Maize : num 5.8 4.7 6.4 4.9 6 5.2 $ Oats : num 8.3 6.1 7.8 7 5.5 7.2 > stack <- function(data) + data.frame(values = unlist(data), + lev = factor(rep(names(data), lapply(data, length)))) > stack(ex10.09...

Dear all R2.10 WinXP I have a dataset dealing with the way different wheat cultivars build their yield. Wheat ears are organised in spikelets where the spikelets can be numbered from the bottom, with even numbers on one side and odd on the other. I know how many kernels there were in each spikelet after some months spent counting them... Now I want to illustrate the diff...

...;GOLD Jun/10", "HENRY HUB NATURAL GAS May/10", "ROBUSTA COFFEE (10) Jul/10", "SILVER May/10", "SOYBEANS Jul/10", "SPCL HIGH GRADE ZINC USD", "STANDARD LEAD USD", "SUGAR NO.11 Jul/10", "SUGAR NO.11 May/10", "WHEAT Jul/10", "WHEAT May/10"), class = "factor"), PL = c(3500, -1874.99999999999, -2612.50000000003, -2169.99999999998, -680, 425, 1025, 1008.00000000000, -3057.59999999999, 3212.5, -1781.25000000001, -2265.0, 75, -387.5, 2950, 490.000000000013, 0), POSITION...

...3 <- structure(list(DESCRIPTION = 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 Jul/10", "SUGAR NO.11 May/10", "WHEAT Jul/10", "SPCL HIGH GRADE ZINC USD", "STANDARD LEAD USD", "CORN May/10", "SILVER May/10", "WHEAT May/10", "COFFEE C Jul/10", "CORN Jul/10", "HENRY HUB NATURAL GAS May/10"), POSITION = c(0, 0, 0, 0, 0, 0, 0, 0, 0...

...did the compiles the exact same way. Why would one compile work, but not the other? I would like to migrate to the newer version, since it has some security fixes. Is there something I need to do during compile, or is this a runtime configuration thing? Thanks in advance, Steve -- Steve "Wheat" Belt Motorola, Inc. Steve.Belt at motorola.com 6501 William Cannon Dr. West, MD OE341 512-895-2268 Austin, TX 78735

.../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 NO.11 Oct/10", "WHEAT Sep/10"), prix = c(-168.3, -1.60000000000002, -773.75, -78.75, -1168.3, -0.0919999999999996, -470.75, 1758.5, -975.25, 1964, -19.09, -605.75), pos = c(-1, 0, -2, -1, -1, 0, -1, 1, -1, 1, -1, -1), PL = c(-12.03, -31.68, -43.2, -70.49, -11.88, -95.04, -3.96, -35.64, -30.24, -12.5, -36.09, -4.32)...

...= structure(1:9, .Label = c(" SUGAR NO.11 Jul/10 ", " SUGAR NO.11 May/10 ", "CORN May/10 ", "COTTON NO.2 Jul/10 ", "CRUDE OIL miNY May/10 ", "ROBUSTA COFFEE (10) Jul/10 ", "SILVER May/10 ", "SOYBEANS Jul/10 ", "WHEAT May/10 "), class = "factor"), POSITION = c(3, -1, 3, 4, 3, 10, 1, 1, 6), SETTLEMENT = c(17.08, 16.85, 363.25, 82.12, 85.51, 1386, 1843.3, 993, 480.25)), .Names = c("DESCRIPTION", "POSITION", "SETTLEMENT"), row.names = c(NA, 9L), class = "data.fra...

...le contains missing values (NA), which I want to substitute by the mean of the remaining (non-NA) Price values of the same Season-Crop combination of levels. Price Crop Season 10 Rice Summer 12 Rice Summer NA Rice Summer 8 Rice Winter 9 Wheat Summer Price[is.na(Price)] gives me the missing values, and by(Price, list(Crop, Season), mean, na.rm = T) the values I want to impute. What I've not been able to figure out, by looking at by and the various incarnations of apply, is how to do the actual substitution. Any help would be m...

...ore distinctive names like Perl, Java, Python, Matlab, OCaml, etc., usually including the name of the language in the query is enough to ensure that the top hits are relevant. But this trick does not work for R, because the letter R appears by itself in so many pages, that the chaff overwhelms the wheat, so to speak. So I'm curious to learn what strategies R users have found to get around this annoyance. TIA! KJ [[alternative HTML version deleted]]

Thank you Martin. If I understand correctly, OP could do wheat.list <- nlsList(Prop ~ SSfpl(end, A, B, xmid, scal), data=wlg) or add some small value to all zeroes wlg$prop < -wlg$Prop+1e-7 wheat.list <- nlsList(prop ~ SSlogis(end,Asym, xmid, scal), data=wlg) which gives fairly reasonable results. plot(augPred(wheat.list)) Am I correct? Cheers Pe...