search for: births

Hi All, I have data on the sequence of births for families with completed fertility cycle (in a data frame); the relevant variables are called b1, b2, b3, b4, b5, b6 and record the birth of the first, second, ..., sixth child. So, b1=1 if the first birth is male, b1=2 if the first birth is female, and b1=NA if the family did not record any...

Hi all, I want to make a contingency table in R. I want to tabulate two variables, one as the independent and second as the dependent variable. The IV has two categories, namely, birth complications, and no birth complications. The frequency of birth complication category is fifty, and the frequency of no birth complication category is 34. The categories and frequencies of DV follows.

...uld not figure this out, and think you can probably offer some helpful tips. I apologize if I missed something, which I'm sure I probably did. I have data for many "samples". (e.g. 1950, 1951, 1952, etc.) For each "sample", I have many data-frames. (e.g. temp.1952, births.1952, gdp.1952, etc.) (Because the data is rather "large" (and for other reasons), I have chosen to store the data as individual files, as opposed to a list of data frames.) I wish to write a function that enables me to "run" any of many custom "functions/processes...

Deal list, I have a data frame (birth) with mixed variables (numeric and alphanumeric). One variable "t1stvisit" was originally coded as numeric with values 1,2, and 3. After attaching the data frame, this is what I see when I use str(t1stvisit) $ t1stvisit: int 1 1 1 1 1 1 1 1 2 2 ... This is as expected. I then convert t1stvisit to a factor and to avoid creating a second

Hi all, Rails 2.1 seems to converts the following parameters {''birth(1i)''=''1990'', ''birth(2i)''=>''2'', ''birth(3i)''=>''31''} into date ''1990-03-02'' automatically. Is it able to inhibit this convertion? -- makoto kuata

Hi, I have only the vaguest notions of what parallel programing, but I think I have a situation where it might be of use to me, or at least provide me with the opportunity to learn more about it. Before I invest in figuring out the nuts and bolts, can anyone confirm that this is a sane approach, or provide alternatives that I could pursue? I'm running stochastic simulations, with the actual

What''s the best way to handle a requirement that shows up as a sub-requirement requirement in other features? For example let''s say users can enter dates in various forms throughout my application. There is one set of global rules specifying the formats in which dates may be entered, and how they are interpreted. I put that in one feature. In various other features, like

http://r.789695.n4.nabble.com/file/n3389613/Life_Expectancies_2008.csv Life_Expectancies_2008.csv I am trying to plot a histogram base on the file i uploaded above. I am facing a trouble in sorting out the frequency of the life expectancies. I wanted to plot a graph of life expectancies at birth versus frequency,but i have no idea how to change the locations into frequencies taking the range of

Dear R users, I am having trouble devising an efficient way to run a loess() function on all columns of a data.frame (with the x factor remaining the same for all columns) and I was hoping that someone here could help me fix my code so that I won't have to resort to using a for loop. (You'll find the upcoming lines of code in a single block near the end of the message.) Here's a

Hello, I would like to use the spatstat package to generate realizations from a spatial birth death process. The death rate is dependent on the pairwise interaction function. 1 - I'd like to know how to define my own interaction potential function 2 - I'm not sure which model to use for a birth death process (my parameters are the birth and death rates) Any help would be greatly

> Dear list, > > I have some data on a geneaology, here is a subset: > warmerge[1:11,c(1,6,25)] > Warrior SibID birth.year > 1100 3793 2013 1926 > 4 2013 2024 1934 > 1094 3769 2024 1918 > 632 2747 2037 1928 > 176 2083 2039 1944 > 187 2085 2039 1949 > 192 2086 2039 NA > 495

Hi All, I'm trying to delete a row from my dataframe "pop" without changing the indexing (column 0) as follows: >pop id birth size xloc yloc weight energy gonad consumed 1 1 36 13 34 43 0 18 0 0 2 2 36 10 39 38 0 18 0 0 3 3 36 10 37 35 0 18 0 0 4 4 36 10 31 25 0

...2001 2 8 F 5 12 2001 2 9 M 22 14 2001 2 10 F 29 13 2001 2 ... I need to count data in different ways: 1. count the births for each day (having 0 when necessary) independently from the value of the "labour" column 2. count the births for each day (having 0 when necessary), divided by the value of "labour" (which can have two valuers, 1 or 2) 3. count the births for each day of all the years (i.e....

Hi all, I have a dataframe call "data", and have lots of rows. One of them is data$`birth` my data has been imported from an excel file in RSTUDIO I want to obtain in a function all rows (with the names) where data$`birth` is bigger than 1979/01/01 and extract in a excel file as an output (a sub-excel of the original). Can you guide with the functions I need to use? I have been many

Hi, I have v1 (date of test) and v2 (year of birth). v1 v2 15.5.2008 88 18.6.2009 54 I want R to use only year in v1; and v2 see as 1988 and calculate age in v3. any ideas how to do that? -- ************************** Vlatka Matković Puljić 095/8618 171 [[alternative HTML version deleted]]

Dear All, reposting, because I did not find a solution, maybe someone could check the example below. It's taken from the help page of survdiff. Executing it, gives the error "Error in floor(temp) : Non-numeric argument to mathematical function" best regards, Heinz library(survival) ## Example from help page of survdiff ## Expected survival for heart transplant patients based

I have a data frame containing children, with variables 'year' = birth year, and 'm.id' = mother's id number. Let's assume that all the births of each mother is represented in the data frame. Now I want to create a subset of this data frame containing all children, whose mother's first birth was in the year 1816 or later. This seems to work: mid <- tapply(dat$year, dat$m.id, min) mid <- as.numeric(names(mid)[mid >...

...gards. # calucate the right breakpoints breakpoints <- seq(min(weights), max(weights), by=binwidth) #scale density dens <- density(reference) dens$y <- dens$y * (length(weights$Weight)*binwidth) #graph it hist(weights$Weight, freq=TRUE, breaks=breakpoints, xlab=xlabel, ylab="No of Births", main=titles[i]) polygon(dens$x, dens$y, border=NA, col="grey60") #direct into open device par(new=T) #histogram hist(weights$Weight, freq=TRUE, breaks=breakpoints, xlab=xlabel, ylab="No of Births", main=titles[i]) }

On 03/11/16 19:37, Volker Lendecke wrote: > On Thu, Nov 03, 2016 at 07:11:12PM +0000, Alex Crow via samba wrote: >> >> On 03/11/16 14:28, Ralph Böhme wrote: >>>> Ah, my smb.conf is missing the "ctdb socket" parameter. According to "man >>>> smb.conf" this should be set, but I don't remember seeing it on the wiki >>>> pages.

Dear list members I want to analyze separately the months of a time series. In other words, I want to plot and fit models for each month separately. Taking the example of http://a-little-book-of-r-for-time-series.readthedocs.org/en/latest/src/timeseries.html births <- scan("http://robjhyndman.com/tsdldata/data/nybirths.dat") birthstimeseries <- ts(births, frequency=12, start=c(1946,1)) birthstimeseries plot.ts(birthstimeseries) birthstimeseriesHW <- HoltWinters(birthstimeseries) plot(birthstimeseriesHW) How to proceed the plotting and Holt...