summary

问题 I am trying to run a beta regression model in R using the betareg package. However, I am surprisingly running into memory size issue. Let me explain why this surprises me. I am using Windows 7, 64 Bit, R-64, and have 32 GB in RAM. The betareg command I am running is:: br1 <- betareg(dfp ~ ago + evl + spe + low + poly(fpt, 4, raw = T), data = tt[tt$zero_one_ind == 1, ], model = T, y = F, x = F) The object size of the betareg model is: print(object.size(br1), units = "Mb") 46 Mb This is the

问题 Data frame have includes a few thousand vectors that follow a naming pattern. Each vector name includes a noun, then either _a , _b , or _c . Below are the first 10 vars and obs: id turtle_a banana_a castle_a turtle_b banana_b castle_b turtle_c banana_c castle_c A -0.58 -0.88 -0.56 -0.53 -0.32 -0.42 -0.52 -0.89 -0.72 B NA NA NA -0.84 -0.36 -0.26 NA NA NA C 0.00 -0.43 -0.75 -0.35 -0.88 -0.14 -0.26 -0.15 -0.81 D -0.81 -0.63 -0.77 -0.82 -0.83 -0.50 -0.77 -0.25 -0.07 E -0.25 -0.33 -0.09 -0.51 -0

问题 I have gone back and fourth on this and I just can not get it. I am setting up my settings using a preference fragment. I can get the settings to work and I can even get the "summary" to update when I make the change. But if I leave the settings screen and come back to it, the summary is back to the default text. So the question is, when using an edittext preference. How do you update the summary so it shows what the user changed the setting to and make it stick across closing the screen and

问题 I have gone back and fourth on this and I just can not get it. I am setting up my settings using a preference fragment. I can get the settings to work and I can even get the "summary" to update when I make the change. But if I leave the settings screen and come back to it, the summary is back to the default text. So the question is, when using an edittext preference. How do you update the summary so it shows what the user changed the setting to and make it stick across closing the screen and

来源： https://stackoverflow.com/questions/61842251/how-to-build-a-two-way-table-summarizing-a-third-variable-in-r-kable-package

来源： https://stackoverflow.com/questions/61842251/how-to-build-a-two-way-table-summarizing-a-third-variable-in-r-kable-package

来源： https://stackoverflow.com/questions/60040581/how-to-add-labels-with-observation-count-to-stat-summary-ggplot

问题 I am trying to make a table with summary statistics that looks similar to this (but with min/max/median/mean values filled in): Type Mass (g) tct tcx tht thx tct Min Max Median Mean (SD) Length (mm) Min Max Median Mean (SD) Width (mm) Min Max Median Mean (SD) Or even like this: (with a width column too) Mass (g) Length (mm) Type Min Max Median Mean (SD) Min Max Median Mean (SD) tct tcx tht thx tct Here is an example of my data: dat <- data.frame( "id" = c(01,02,03,04,05,06,07,08,09,10), "type

问题 I'm summarizing a data frame in dplyr with the summarize_all() function. If I do the following: summarize_all(mydf, list(mean="mean", median="median", sd="sd")) I get a tibble with 3 variables for each of my original measures, all suffixed by the type (mean, median, sd). Great! But when I try to capture the within-vector n's to calculate the standard deviations myself and to make sure missing cells aren't counted... summarize_all(mydf, list(mean="mean", median="median", sd="sd", n="n")) ...I

问题 I am following the instructions laid out here to create a clean table of summary statistics. In these instructions, the input to the summary_table() function is a list of lists, as shown here: our_summary1 <- list("Miles Per Gallon" = list("min" = ~ min(.data$mpg), "max" = ~ max(.data$mpg), "mean (sd)" = ~ qwraps2::mean_sd(.data$mpg)), "Displacement" = list("min" = ~ min(.data$disp), "median" = ~ median(.data$disp), "max" = ~ max(.data$disp), "mean (sd)" = ~ qwraps2::mean_sd(.data$disp)),