similar to: The condition has length > 1 and only the first element will be used

Dear all, I'm trying to use some technic to do a pattern recognition over a large dataset. I really don't have any idea on how to do that using R. Here is a sample of the data: id,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15 1480010,208,69,180,465,465,241,241,69,584,26,75,578,507,75,284 1480183,208,69,352,476,531,495,163,241,69,584,69,584,69,484,69

Hi all, I'm trying to plot this two curves in a single cartesian plane, but when I plot the first one, the plot appears with no negative "y" value. When I plot the second curve, it almost does not apear in the graph. I was trying the plot.window but with no success. Can someone help me with this? If possible, I'd like to plot this curves in a perfect cartesian plane. f =

Hi all, I have no idea if this question is to easy to be answered, but I?m starting with R. So, here we go. I have a large dataset with a lot of steps a judicial case. A sample is attached. I?d like to do a cluster analysis to try to understand with one is the most usual path followed by this legal cases. After that, I?d like to plot a cluster tree. In the attached sample, the column: -

Hi All, this is my first mail here. I'm trying to plot a multiline chart grouping values with no success. I have read a lot in the official Wiki and also searched via Google, but I did not find anything. I'm importing some data from a cvs file. Here is a sample: YEAR,AREA,CASES 1988,CONTRACTS,286 1988,INTERNATIONAL,189 1988,FAMILY,385 1988,TAXATION,177 1989,CONTRACTS,233

Dear all, I'm trying to plot some data over a geographic map. I'm reading the documentation (?map)... The problem is here: *map(database = "world", regions = ".", exact = FALSE, boundary = TRUE,* * interior = TRUE, projection = "", parameters = NULL, orientation = NULL,* * fill = FALSE, col = 1, plot = TRUE, add = FALSE, namesonly = FALSE,* * xlim =

Hello, I am trying to graph a regression line using the followings: Age <- c(39, 47, 45, 47, 65, 46, 67, 42, 67, 56, 64, 56, 59, 34, 42, 48, 45, 17, 20, 19, 36, 50, 39, 21, 44, 53, 63, 29, 25, 69) BloodPressure <- c(144, 220, 138, 145, 162, 142, 170, 124, 158, 154, 162, 150, 140, 110, 128, 130, 135, 114, 116, 124, 136, 142, 120, 120, 160, 158, 144, 130, 125, 175) SimpleLinearReg1=lm(Age ~

Hi folks, Pls help me to understand follow; An Introduction to R 2.4 Logical vectors http://cran.r-project.org/doc/manuals/R-intro.html#R-and-statistics 1) > x [1] 1 2 3 4 5 > temp <- x != 1 > temp [1] FALSE TRUE TRUE TRUE TRUE > 2) > x [1] 1 2 3 4 5 > temp <- x > 1 > temp [1] FALSE TRUE TRUE TRUE TRUE Why NOT > temp [1] TRUE FALSE FALSE FALSE

Hi folks, Pls help me to understand follow; An Introduction to R 2.4 Logical vectors http://cran.r-project.org/doc/manuals/R-intro.html#R-and-statistics 1) > x [1] 1 2 3 4 5 > temp <- x != 1 > temp [1] FALSE TRUE TRUE TRUE TRUE > 2) > x [1] 1 2 3 4 5 > temp <- x > 1 > temp [1] FALSE TRUE TRUE TRUE TRUE Why NOT > temp [1] TRUE FALSE FALSE FALSE

Hi, Anne, assign Age and Bloodpressure in the correct order to the axes in your call to plot as in: plot(y = Age, x = BloodPressure) abline(SimpleLinearReg1) Hth -- Gerrit --------------------------------------------------------------------- Dr. Gerrit Eichner Mathematical Institute, Room 212 gerrit.eichner at math.uni-giessen.de Justus-Liebig-University Giessen Tel:

Dear Gerrit, This issue is discussed in a vignette in the car package (both for functions in the car and effects packages): vignette("embedding", package="car") . The solution suggested there is the essentially the one that you used. I hope this helps, John ----------------------------- John Fox, Professor Emeritus McMaster University Hamilton, Ontario, Canada Web:

Hi, again, I have to modify my query since my first (too simple) example doesn't reflect my actual problem. Second try: When asking Effect() inside a function to compute an effect of an lmer-fit which uses a data frame local to the body of the function, as in the following example (simplifying my actual application), I get the "Error in is.data.frame(data) : object 'X' not

Dear R-help, I am trying to express myself as best as I can here. If you also use Latex to edit math reports or other languages with similar editing method, you'll see what I'm talking about. My sincere appologies if my question is not clear enough to some extend, as also I'm not able to provide my code here because I don`t know which one I can use... When editing the title in R

Hello, everyody, when asking, e.g., Effect() to compute the effects of a fitted, e.g., linear model after having deleted the data frame from the workspace for which the model was obtained an error is reported: > myair <- airquality > fm <- lm(Ozone ~ Temp, data = myair) > rm(myair) > Effect("Temp", fm) Error in eval(model$call$data, envir) : object 'myair'

Dear R helpers   I have two series A and B as given below -   A <- c(2, 2, 1, 3, 7, 3, 3, 1, 14, 7, 31) B <- c(0.0728,0.9538,4.0140,0.0020,2.5593,0.1620,2.513,0.3798, .0033,0.2282, 0.1614)   I need to calculate the total in dataset B corresponding to the numbers in dataset A i.e. for no 1 in A, I need the total as 4.0140+0.3798 (as 1 is repeated twice) for no 2, I need the total as

Dear all, I work with R Version 2.0.0 on Machine hardware: sun4u OS version: 5.9 Processor type: sparc Hardware: SUNW,Sun-Blade-1000 and I have a very simple data frame (called OR) with the following variables: > sapply( OR, class) X ci FTyp "factor" "numeric" "factor" (In OR$ci there are some Inf-values. OR's

Dear Gerrit Thanks a lot. "rbind" seems to be the right function. Unfortunately there is a shift in the x-axis (see pdf). There are 52 trapcatch values each, m and w, but m$trapcatch and w$trapcatch are shifted up to x-value 60. The follow-up lines for temp and humidity are fine. Thanks Sibylle setwd("~/Desktop/DatenLogger2017") # am Mac sks trap =

Hello, R-help, does anybody have already a work-around for the problem that the formula version of sunflowerplot() throws an error when provided with a value for xlab (or ylab) different from NULL: > sunflowerplot( Sepal.Length ~ Sepal.Width, data = iris, xlab = "A") Error in model.frame.default(formula = Sepal.Length ~ Sepal.Width, data = iris, : variable lengths differ

Dear all, I would like to use cut() to make numerics to factors, the sample codes are as follows. However, the result is not what I want, since r[3] =?9 should be in the interval of "8-10%" rather than "2-4%". Maybe cut() is not the right function to use for my situation. Please help. > r <- c(1,1,9,1,1,1) > col_no <-

Dear R users aim Barplot of insect trap catches (y variable trapcatch) at one specific station (variable FiBL_Hecke) from week 1-52 ( x variable week). It works well using the function tapply (sum trapcatch per week, males and females not separated), however, I intend to separate the y variable trapcatch in males and females (variable m_w: m and w) problem I used the function "add" to

Dear all, I have searched the forums for an answer - and there is plenty of questions along the same line - but none of the paproaches shown worked to my problem: I have a data frame that I get from a csv: summarystats<-as.data.frame(read.csv(file=f_summary)); where I have the columns Dataset, Class, Type, Category,.. Problem1: I want to find a subset of this frame, based on values in