Displaying 9 results from an estimated 9 matches for "distplot".
2014 May 29
2
Discrepancia entre Ord_plot y distplot del paquete vcd
...nes.
> dput(peces)
c(26L, 63L, 1L, 21L, 20L, 50L, 0L, 104L, 19L, 0L, 8L, 32L, 0L,
24L, 5L, 2L, 0L, 36L, 0L, 5L, 27L, 1L, 13L, 24L, 15L, 25L, 23L,
5L, 37L, 26L, 29L, 14L, 15L)
La función Ord_plot me dice que la mejor distribución para los datos es
binomial negativa.
Ord_plot(peces)
La función distplot parece indicar que la mejor distribución es poisson
distplot(peces, type = "nbinomial")
distplot(peces, type = "poisson")
Pero no entiendo porque la discrepancia.
Muchas gracias,
Manuel
--
*Manuel Spínola, Ph.D.*
Instituto Internacional en Conservación y Manejo de Vida Si...
2017 Oct 18
1
dygraphs, multiple graphs and shiny
..."Number of bins:",
> min = 1,
> max = 50,
> value = 30)
> ),
>
> # Show a plot of the generated distribution
> mainPanel(
> dygraphs::dygraphOutput("distPlot")
> )
> )
> )
>
> # Define server logic required to draw a histogram
> server <- function(input, output) {
>
> output$distPlot <- dygraphs::renderDygraph({
> lungDeaths <- cbind(mdeaths, fdeaths)
> res <- lapply(1:2, function...
2018 Mar 04
2
problema con shiny
...sidebarPanel(
sliderInput("bins",
"Number of bins:",
min = 1,
max = 50,
value = 30)
),
# Show a plot of the generated distribution
mainPanel(
plotOutput("distPlot")
)
)
)
# Define server logic required to draw a histogram
server <- function(input, output) {
output$distPlot <- renderPlot({
# generate bins based on input$bins from ui.R
x <- faithful[, 2]
bins <- seq(min(x), max(x), length.out = input$bins + 1...
2007 Mar 23
3
distribution graph
I am looking for a way to produce a "distribution graph" as in the example:
(http://cecsweb.dartmouth.edu/release1.1/datatools/dgraph.php?year=2003&geotype=STD_HRR&event=A01_DIS&eventtype=UTIL
Anybody who can help?
Christian von Plessen
Department of Pulmonary Medicine
Haukeland university hospital
Bergen
Norway
2018 Mar 05
2
problema con shiny
...sidebarPanel(
sliderInput("bins",
"Number of bins:",
min = 1,
max = 50,
value = 30)
),
# Show a plot of the generated distribution
mainPanel(
plotOutput("distPlot")
)
)
)
# Define server logic required to draw a histogram
server <- function(input, output) {
output$distPlot <- renderPlot({
# generate bins based on input$bins from ui.R
x <- faithful[, 2]
bins <- seq(min(x), max(x), length.out = input$bins + 1...
2004 May 07
1
*** GOODNESS OF FIT FOR BINOMIAL DISTRIBUTED DATA
Hi,
this is probably a very newbie statistical question.
I have some experimental data.
My hypothesis is that the data are binomially distributed with a known N
and p.
I am trying to obtain a sort of p-value to tell me whether or not my
hypothesis is correct.
What can I do with R?
Thank you,
Pier Luca
2004 Jan 15
3
how to overlap plots
Dear R experts:
Can you help me to overlap a histogram and theoretical density curve of poison
distribution? for example data like this:
The numbers of sanils found in each of 100 sampling quadrats in an area were
as follows:
number of snails, r 0 1 2 3 4 5 8 15
f=frequency of r 69 18 7 2 1 1 1 1
apparently this is not Poison but near to Poison, How to overlap the
theoretical desity curve to
2005 Mar 21
2
Violin plot for discrete variables.
Dear Rgurus,
To my knowledge the best way to visualize the distribution of a discrete
variable X is
plot(table(X))
The problem which I have is the following. I have to discrete variables
X and Y which distribution I would like to compare. To overlay the
distribution of Y with lines(table(Y)) gives not satisfying results.
This is the same in case of using density or histogram.
Hence, I am
2018 Mar 04
4
problema con shiny
Estimados compañeros tengo un problema con shiny. Es un problema local de mi ordenador, porque en otro va si problemas pero no consigo saber ¿cómo arreglarlo?. He instalado incluso la nueva versión de Rstudio. Os explico:
1) lanzo el programa app.R, el ejemplo de shiny e intenta mostrar los resultados pero si hago: print(environment(show)) da como resultado
Error in func(fname, ...) : app.R did