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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

Say I have the following data: house_number<-floor(runif(100, 200, 600)) water_evaluation<-c("No water damage", "Water damage", "Water On", "Water off", "water pipes damaged", "leaking water") water_evaluation_selection<-floor(runif(100, 1,6)) house_info<-data.frame(water_evaluation[water_evaluation_selection],

Hello, I would be very grateful if someone could give me a hand with my split plot design problems. So here is my design : I am studying the crossed-effects of water (wet/dry) and mowing (mowed/not-mowed = nm) on plant height (PH) within 2 types of plant communities (Xerobromion and Mesobromion) : - Within each type of communities, I have localised 4 blocks - In each block, I have defined

Dear Colleague, Our journal, European Water Management, the official journal of the European Water Association (EWA), has started a free e-mail news service. If you subscribe, you get weekly a mail with press releases, etc. concerning water (management, research, policy, industry, etc.). It is completely free for all people working in the water sector in its broadest sense. Older issues of

Dear Colleague, Our journal, European Water Management, the official journal of the European Water Association (EWA), has started a free e-mail news service. If you subscribe, you get weekly a mail with press releases, etc. concerning water (management, research, policy, industry, etc.). It is completely free for all people working in the water sector in its broadest sense. Older issues of

Dear All user, Hello, I'm a student and I have some trouble with the experimental (columns-experiments) design of my project. I use a randomized block design with 4 treatments including a control. For each treatment, I use 3 replicates and 3 blocks. The treatments are: -T1 = COD (300 mg/Lit) COD=chemical oxygen demand -T2 = COD (200 mg/Lit) -T3 = COD (100 mg/Lit) -T4 = COD (0 mg/Lit) as

...question about calculating r-squared in R. I have tried searching the archives and couldn't find what I was looking for - but apologies if there is somewhere I can find this... I carried out a droughting experiment to test plant competition under limited water. I had: - 7 different levels of watering treatment (1 -7 - from most watered to least watered/) - 15 replicates at each level. Soil moisture readings were taken 4 times throughout the experiment (so I have 105 readings for each of the 4 times) and I now want to check that there was a significant decrease in soil moisture as I decreased t...

Dear R-Helpers, Is there a way to draw shaded (filled) polygons in panel graphs produced by xyplot ? I made different trials (see below) with polygon() and grid.polygon() but polygons are not drawn (probably for the same reason that prevents the use of lines, points, etc. in xyplot panels). Thanks in advance, Renaud > Water id label longitude latitude 515 21 Zone inondable

Sorry for the last email, sent too early. I have a small data set that has a hierarchical structure. It has both temporal (year, months) and spatial (treatment code and zone code). The following explains the data: WSZ_Code the water supply zone code (1 to 8) Treatment_Code the treatment plant which supplies each water supply zone (1 to 4)

Hi Everyone, I am trying to analyze a split plot experiment in the field that was arranged like this: I am trying to measure the fitness consequences of seed size. Factors (X): *Seed size*: a continuous variable, normally distributed. *Water*: Categorical Levels- wet and dry. *Density*: Categorical Levels- high, medium and solo *Plot*: Counts from 1 to 20 The *response variable *(Y) was the

Dear R Help-Listers: I have a problem that seems like it should have a simple solution, but I've spent hours on it (and searching the r-help archives) to no avail. What I'd like to do is to generate a new variable within a data frame, the values of which are dependent upon the values of an existing variable within that data frame. Assume that I have the following data:

dear list! I KNOW this has been answered a million times before. But, as some might remember from their "freelance" times as a statistic consultant, sometimes you're blinded by the facts. I KNOW I have seen this problem solved, but due to the mental blockade i have been suffering from the last 3 hours, I can neither find the answer on the mailing list nor on google. I wrote a

The plastics industry says polycarbonate bottles are safe. http://www.bisphenol-a.org/about/faq.html#g I'm sure Maggie and here friends would say ALL plastic bottles are very dangerous. This lady seems to be at a reasonable middle ground. http://trusted.md/blog/vreni_gurd/2007/03/29/plastic_water_bottles Polycarbonate plastics the kind of bottle you bought contains BPA. "In 2006 Europe

The US water year extends from 01 October yyyy-1 through 30 September yyyy and is referenced by the year starting on the included 01 January yyyy. I'd like to be able to find the annual means for the water year. To do so I've taken the input date-time, which is in the usual format "1991-10-07 10:35:00" changed it by: w$d<-as.POSIXct(w$date.time) Now I can add an

Hi, Is there difference in speed and size of water splashes in water plugin between software and hardware implementation? If it is, is it supposed to be so? wolf -- Bartek . - Napisa?e? ju?, ?e sto?y rozwalasz? Taudul : .:.................................................................... w o l f @ p l d - l i n u x . o r g .:. http://wolf.valkyrie.one.pl/

Dear all; I have a question about the water level of a reservoir, when the volume changed or doubled. There is a DEM file with the highest elevation 1267 m. The lowest elevation is 1230 m. The current volume of the reservoir is 7,000,000 m3 at 1240 m. Now I want to know what would be the water level if the volume rises to 1250 m? or what would be the water level if the volume doubled (14,000,000

I am trying to distribute the entries of a data frame (dat) to a vector (water) based on the values of two other vectors (region and year). region is also the columns and year the rows of the data frame (dat). I can write a bunch of ifelse statements or I created the for statement below - but there must be a simpler way?? The for statement probably won't work if I am distributing a non

Hi, I am having some difficulties with matrix operations. It is a little hard to explain it so please bear with me. I have a very large data set, large enough that it needs to be split in parts in order to deal with. I can work things on these "parts" but the problem lies in adding together these parts for the final answer. So that been said, let's say that i split the data in 2

Water engineer here. The standard approach is to 1) get the storage vs. elevation data from the designers of the reservoir or, barring that, 2) get the bathymetry data from USBR or state DWR, or, if available, get the DEM data from USGS if the survey was done before the reservoir was built or 3) get a boat+sonar with GPS? +lots of time and survey the bottom elevation yourself. Put the xyz

I have data in a file named hands.dat, which is given at the end of this question. (It's from a stats textbook example on anova). I'd like to do an aov on this, which I guess would be d <- read.table("~/hands.dat", header=TRUE) aov(Bacterial.Counts ~ Water + Soap + Antibacterial.Soap + Alcohol.Spray, data=d) but this fails. Do I need to break d$Method up into columns for