search for: area

...uot;NA", it returns as "NA" also. I know that I can remove NAs, but would like to keep the dataframe as is without creating a subset. I basically want to add a line that evaluates the NA in the demo dataframe. As an example, I want to assign rows to classes based on values in demo$Area. Some of the values in demo$Area are "NA" for (i in 1:nrow(demo)) { if (demo$Area[i] > 0 && demo$Area[i] < 10) {Class[i]<-"S01"} ## 1-10 cm2 if (demo$Area[i] >= 10 && demo$Area[i] < 25) {Class[i] <- "S02"} ## 10-25cm2 if (demo$A...

To constraint the movement to a specific area, I added the following lines in dragdrop.js This will allow you to specify: area: [2,3,100,120] to draw a rectangular area where movement is allowed... might have very strange side effects, just needed a quick/dirty hack. Plus I installed script.aculo.us just 10 minutes ago :) Don''t flame...

Hi, I was wondering if there was a way to store the results of a computationally expensive "getter" call on an S4 object, so that it is only calculated once for each object. Trivial example: let's say I want to cache the "expensive" area calculation of a square object. setClass("Square", representation( length='numeric', width='numeric', area='numeric' ), prototype( length=0, width=0, area=-1 ) ) setGeneric("area", function(x) standardGeneric(...

...dvance and ask for understanding in the simplicity of my question: I have data on the amount of grass per km in a cell ( of which i have lots) "grass" and for each cell i have x/y coordinates - required due to spatial autocorrelation Cells can be classfied in a hierarchical nature into AREAS and STATES i.e Cell 1, Cell 2, Cell 3 are all in AREA "A" where as Cell 4,5 and 6 are in AREA "B" However both area A + B are in state "S1" I have lots of these (13000) cells which are classfied into ~2000 AREA's and ~750 STATE'S So my question is do AREA...

Hello all I'm trying to learn how to fit a nested model in R. I found a toy example on internet where a dataset that have?3 areas and 4 sites within these areas. When I use Minitab to fit a nested model to this data, this is the ANOVA table that I got: Nested ANOVA: y versus areas, sites Analysis of Variance for y Source DF SS MS F P areas 2 4.5000 2.2500 0.158 0.856 sites 9 128.2500...

Hello, One more question.. I have the data.frame "pop": xloc yloc gonad ind Ene W Area 1 23 20 516.74 1 0.02 20.21 1 2 23 20 1143.20 1 0.02 20.21 1 3 23 20 250.00 1 0.02 20.21 1 4 22 15 251.98 1 0.02 18.69 2 5 22 15 598.08 1 0.02 18.69 2 6 21 19 250.00 1 0.02 20.21 3 7 22 20 251.98 1 0.02 18.69...

...on setting up the model relationships. I was going to go with a simple system of a Category table and a FAQ table (holding questions and answers) - where one FAQ belongs to one category. That''s all nice - a simple has_many / belongs_to relationship. Then I decided to add another level - Area. So I could make the system work for a wider audience (IT area has it''s own categories and FAQ''s, Sales area has it''s own categories and FAQ''s, etc.) I''m not sure how the best way to set this up - areas has_many categories has_many faqs, or areas has_ma...

Hi All, Year Area Q Bin FD I have a large dataset I need to re-structure. It looks something like this: 2000 1 1 5 0 2000 1 1 10 1 2000 1 1 15 23 2000 1 1 20 12 2000 1 1 25 1 2000 2 1 5 1 2000 2 1 10 3 2000 2 1 15 15 2000 2 1 20 11 2000 2 1 25 3 2000 1 2 5 0 2000 1 2 10 1 2000 1 2 15 23 2000 1 2...

...ice issues). I'd use the Kolmogorov-Smirnov test, but of course this is invalid when the distribution parameters are estimated from the data. So I'm tinkering with an alternative method (excuse my naivet? if this is a bad idea, I'm a relative statistical novice) that calculates the area of the difference between the ECDF of the data and the CDF of the estimated function (somewhat like KS, which looks at the greatest distance between these). My thought is to compare this observed area to a distribution of simulated areas derived by monte carlo simulation (draw N random samples...

Dear R Help, I have a set of data of heights of trees described by area that they are in. The areas are numerical (0 to 7). ht area 1 320 3 2 410 4 3 230 2 4 360 3 5 126 1 6 280 2 7 260 2 8 280 2 9 280 2 10 260 2 ....... 180 450 4 181 90 1 182 120 1 183 440 4 184 210 2 185 330 3 186 210 2 187 100 1 188 0...

Hello all. I am trying to add a title to a link_to_remote created AJAX link. What I want to create is: <a href="#" title="VALUE-HERE" onclick="new Ajax.Updater(''content'', ''/area/show/28/40'', {asynchronous:true, evalScripts:true}); return false;">Area Name</a> However I cannot seem to get it to work, the API says that link_to_remote is link_to_remote(name, options = {}, html_options = {}) If I try: <%= link_to_remote area.name, :update =>...

Hi, I need a help. I am new in R and I need to run a nested anova with fixed and random factors (Mixed Model). I have a design with three factors: Day, Area and Plot and the dependent variable is density. The factors Day and Area are fixed while Plot is random, factor Area is nested in factor Day, and factor Plot is nested in Area. I can do it using aov by: mod1<-aov(density~ day + day%in%area + day%in%area%in%plot) symmary(mod1) Getting this re...

Dear list, When I use VennDiagram package, I got a error as follow: venn.plot <- draw.pairwise.venn( area1 = 3186, area2 = 325, cross.area = 5880); Error in draw.pairwise.venn(area1 = 3186, area2 = 325, cross.area = 588) : Impossible: cross section area too large. Does anyone have suggestion? Thank you.

...d produce a simple Cleveland style dotchart with a line from the '2' axis to the dot rather than a continuous line as do "dotchart" and "dotchart2". At least I could not find that option. I got a crude program to work but it includes unnecessary steps. The data in Area (below) is sorted in reverse order to how I want it displayed I am doing to many 'sorts' either a sort() or a rev() to handle this problem. When I change from sorting variables to using order() on the data.frame I lose my names() When I try to assign it, I get a NULL return. It is prob...

I'm trying to calculate a cumulative area distribution (graph) of drainage areas. This is defined as P(A > A*). Simple in principle. I can do this in excel, with "COUNTIF", which will count the number of cells in the row "area" that have area A, then determine, for each cell in the row "area, how many cells exce...

Hi all, I would like to calculate the area under the ROC curve for my predictive model. I have managed to plot points giving me the ROC curve. However, I do not know how to get the value of the area under. Does anybody know of a function that would give the result I want using an array of specificity and an array of sensitivity as input?...

Dear, I want to fit an inverse gaussion distribution to a data set. The predictor variables are gender, area and agecategory. For each of these variables I've defined a baseline e.g. #agecat: baseline is 3 data<-transform(data, agecat=C(factor(agecat,ordered=TRUE), contr.treatment(n=6,base=3))) The variable 'area' goes from A to F (6 areas: A,B,C,D,E,F) How can i manipulate the data t...

Hello! I am having an issue with the OrgMassSpecR package. I run my HPLC using a DAD detector. My raw data is exported form chemstation as a csv file. I then upload the csv into Rstudio no problem. Using the DrawChromatogram function, I get a nice chromatogram, and my retention time, peak area, and apex intensity values are given as well. The problem comes with the peak area value given. The peak area is much smaller than a value that would make sense. My peak area value is actually less than my apex intensity value. Is this because I am using a DAD detector rather than an MS? If so,...

Hi Listers, seems I have forgotten some basics re offset in glm: data: counts (y) from locations off different size (area), explanatory variable: x Model: y ~ x+offset(area) Predictions (pred) using Poisson errors plot(x,y) and points(x,pred) gives neat "line" of estimated values. However, for ease of understanding graphs are better using plot(x,y/area). Question: How to display predictions from the mod...

...L, 7L, 2L, 9L, 1L, 12L, 3L, 13L, 5L, 4L, 6L, 10L), .Label = c("AB", "BC", "MB", "NB", "NL", "NS", "NT", "NU", "ON", "PE", "QC", "SK", "YT"), class = "factor"), Area = c(1936113L, 1365128L, 1183085L, 925186L, 917741L, 642317L, 591670L, 553556L, 474391L, 373872L, 71450L, 53338L, 5660L)), .Names = c("Name", "Pcode", "Area"), class = "data.frame", row.names = c(NA, -13L)) library(ggplot2) p <- ggplot(provs, aes(x = 0, x...