similar to: How to set the limit of abline (regression line of lm)

Hello I have data of body length and body weight of people of different skin colors. I tried to write a code to plot body length and body weight according to the skin colors. (Thanks for Petr's advice so far.) A loop is used but an error shows up in the following code. It says: unexpected '}' in "

Hello list, I am running a regression using lm(Y~A+B+log(C)+log(D)) Now, I would like to test if glm can produce similar results. So the code was revised as glm(Y~A+B+C+D, family=poisson) (code 1) However, I found some example using glm for lm. It suggests that the code should be revised like glm(Y~A+B+log(C)+log(D), family=poisson) (code 2) Please kindly advise which code is correct.

Hello, I am work with a linear regression model: y=ax+b with the function of lm. y= observed migration distance of butterflies x= predicted migration distance of butterflies Usually the result will show if the linear term a is significantly different from zero based on the p-value. Now I would like to test if the linear term is significantly different from one. (because I want to know

Hi experts, I was graciously offered a function to enhance abline by restricting the extent of the line to less than the plotting region. This seems a useful idea, and it looked like the easiest way to program it was to set up a clipping region with "clip", draw the abline and then restore the previous clipping region. Let us call this function ablineclip. After quite a bit of

Hi experts, I was graciously offered a function to enhance abline by restricting the extent of the line to less than the plotting region. This seems a useful idea, and it looked like the easiest way to program it was to set up a clipping region with "clip", draw the abline and then restore the previous clipping region. Let us call this function ablineclip. After quite a bit of

Dear List, Some independent variable were missing in calculation using lm and glm (gaussian). (X= Y1+Y2+…..+Y16, Independent number: 16 variable) However, those variables did work well in cor(X, Y) respectively. str(dataframe) was also run to ensure that the variables were all numbers. Moreover, the missing variables were different in lm and glm. In lm, 3 factors were not taken into

Hello, This is Elaine. I am using R 3.0 to download package vegan but failed. The warning message is package ‘vegan’ successfully unpacked and MD5 sums checked Warning: unable to move temporary installation ‘C:\Users\elaine\Documents\R\win-library\3.0\file16c82da53b1b\vegan’ to ‘C:\Users\elaine\Documents\R\win-library\3.0\vegan’ I cannot find the folder \file16c82da53b1b\ below

Hello, I managed to "linearize" my LDA decision boundaries now I would like to call abline three times but be able to specify the exact x range. I was reading the doc but it doesn't seem to support this use-case? are there alternatives. The reason why I use abline is because I first call plot to plot all the three datasets and then call abline to "append" these decision

Dear List, I have a richness data distributing across 20 N to 20 S latitude. (120 E-140 E longitude). I would like to draw the richness in the north hemisphere and a regression line in the plot (x-axis: latitude, y-axis: richness in the north hemisphere). The above demand is done using plot. Then, south hemisphere richness and regression are required to be generated using the same y-axis above

Dear list, I wanna select the significant variables relative to bird distribution, using stepwise method. However, the result is always the best-fit model. Please kindly suggest if it is possible to show the selection process. Thank you Elaine [[alternative HTML version deleted]]

Dear list I have a matrix composed of islandID as rows and speciesID as columns. IslandID: Island A, B, C….O (15 islands in total) SpeciesID: D0001, D0002, D0003….D0100 (100 species in total) The cell of the matrix describes presence (1) or absence (0) of the species in an island. Now I would like to search the species with absence (0) in all the islands (Island A to Island O.)

Hello, I want to know if two quadratic regressions are significantly different. I was advised to make the test using step 1 bootstrapping both quadratic regressions and get their slope coefficients. (Let's call the slope coefficient *â*^1 and *â*^2) step 2 use the slope difference *â*^1-*â*^2 and bootstrap the slope coefficent step 3 find out the sampling distribution above and

Dear List, I want to compare the presence and absence of bird species based on the sites in a matrix. The matrix has 5 rows for Island A, B, C, D, and E. It has 100 columns for bird species D001-D100. In each cell of the matrix, the presence-absence of bird species will be recorded as 1 or 0. (For example, if species D001 is found on Island D, the matrix cell of species D001 and Island D

Hello, I have a matrix (class matrix) composed of GridCell (row and column). The matrix value is the beta diversity index value between two grids. Now I would like to get the average value of each GridCell. Please kindly advise how to make the calculation. Thank you. Elaine The matrix looks like (cited from Michael Friendly) I would like to get the average value of each color. Obs

Dear, I am a newbie to R. Now I am learning to draw boxplot using graphics(). I want to highlight the median position with a round point and the value left (or on the top of)to the point. Please kindly share the command and thank you. Elaine [[alternative HTML version deleted]]

Hello, I drew a plot of weight and height of people and fitted it with a polynominal regression x^2. (using curve()) Now I would like to draw the confidence interval line for the fitted curve. Please kindly advise the code for the purpose. Thank you. Elaine [[alternative HTML version deleted]]

Hello, I am making a boxplot of 13 boxes. I tried to color the box using 13 colors but failed. Only red and brown were displayed. Green, blue, and grey disappeared. Please kindly advise modification after checking the code below. Thank you in advance. Elaine R code # data input dataN <-read.csv("H:/a_mig_distance_B_NB/R_data/Mig_bird_586_20120925.csv",header=T, row.names=1)

Hello I have a table describing butterfly range traits. It is composed of three columns as below Species name range size (X) latitude of range midpoint (Y) There are 11 kinds of butterflies. Each has its range size, and the latitude of each range midpoint ranges from 9 to 19. I would like to have the average range size of every degree of latitude. For example, the average range

Dear list, I want to make a plot based on the following information, using the command plot. variable A for x axis : temperature (range: -20 degrees to 40 degree) variable B for y axis : altitude (range: 50 m to 2500 m ) The data below 0 degree of X variable wants to be erased tentatively. Please kindly advise the command to extract the data ranging from 0 degree to 40 degrees. Thank

Dear List, I am using plot for homework. The x-axis covered from 0 to 80, with 4 intervals. However, the plot only showed 0, 40, 80. 20 and 60 disappeared. Please kindly advise how to show 0, 20, 40, 60, 80 for the axis interval. Thank you. Elaine [[alternative HTML version deleted]]