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NA induced by coercion _ mean and SD _ percentages


By : Trafik
Date : September 17 2020, 09:00 AM
This might help you I am trying to get some means and SD for the 3 groups that I have under the column 'Group' (0, 1 2) in the columns 'Variable1' and 'Variable2'. , Move the na.rm=T inside the parentheses:
code :
library(plyr)
meanSD<-ddply(data, .(Group),summarise,
              meanV1= mean(Variable1,na.rm = TRUE),
              SD_V1=sd(Variable1,na.rm = TRUE),
              meanV2= mean(Variable2,na.rm = TRUE),
              SD_V2=sd(Variable2,na.rm = TRUE))

> meanSD
  Group   meanV1    SD_V1    meanV2     SD_V2
1     0 207.6964 80.41798  8.650909  5.415816
2     1 224.4815 72.39221 11.327273 10.108128
3     2 255.8077 83.28431 10.161538  9.297399
library(dplyr)
data %>%
  group_by(Group) %>%
  summarise_if(
    is.numeric,
    list(mean = mean, sd = sd),
    na.rm = TRUE
  )


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How to draw a ggplot2 with facet_wrap, showing percentages from each group, not overall percentages?


By : ik23
Date : March 29 2020, 07:55 AM
will be helpful for those in need I'd like to draw a ggplot with facet_wrap, which doesn't show the actual table percent, but the percent of the given answer in each group. I have to do this, because I want to show, which answer is most selected and most important for each group. The groups don't have the same size. , It's probably better to calculate the percentages beforehand:
code :
library(dplyr)
dfl <- df %>% 
  group_by(group,choice) %>% 
  summarise(n=n()) %>% 
  group_by(group) %>% 
  mutate(perc=100*n/sum(n))

ggplot(dfl, aes(x=group, y=perc, fill=group)) +
  geom_bar(stat="identity") +
  ylab("percent") + 
  facet_wrap(~ choice)
ggplot(dfl, aes(x=choice, y=perc, fill=choice)) +
  geom_bar(stat="identity") +
  ylab("percent") + 
  facet_wrap(~ group)

MPAndroidChart, how to remove decimal percentages and not show percentages below 10?


By : Banu Buribayeva
Date : March 29 2020, 07:55 AM
it fixes the issue Update for version 3.0.0+
Formatting values is now done by extending the ValueFormatter class and overriding the required methods for formatting. This is also where custom logic (e.g. only show labels for values > 10) can be inserted.
code :
class MyValueFormatter : ValueFormatter() {
    private val format = DecimalFormat("###,##0.0")

    // override this for e.g. LineChart or ScatterChart
    override fun getPointLabel(entry: Entry?): String {
        return format.format(entry?.y)
    }
}

Need to add percentages to my barplot in ggplot2 but the percentages are jumping to the bottom instead of the top


By : Yu Fang
Date : March 29 2020, 07:55 AM
I wish did fix the issue. I think you meant to use number for the y of your text instead of pct. I added vjust = -.5 to make the text appear on the text line above the bar.
code :
library(ggplot2); library(ggthemes)
ggplot(data = year_table, mapping = aes(x = Year, y = number)) +
  geom_col(fill= "darkslategray3") + theme_economist() +
  ggtitle("Distribution of Applicants based on Class Year") +
  geom_text(data=year_table, aes(label=paste0(round(pct*100,1),"%"),
                                 y=number), size=4, vjust = -.5)

How to computer percentages and accumulated percentages with pandas


By : user3371636
Date : March 29 2020, 07:55 AM
hop of those help? I'm calculating from drivers that are involved in accidents, what percentage are in each age group, and accumulated percentage (for example drivers till age 39 are involved in 50% of all accidents) , So far, the most efficient, conside and clear way is:
code :
df = pd.DataFrame({'Age group': ['20-29','30-39','40-49','50-59','60 and up'], 
                   'Number accidents': [10000, 8000, 6000, 3000, 1000]})
df['% accidents'] = df['Number accidents'] / df['Number accidents'].sum() * 100
df['% accidents accumulated'] = df['% accidents'].cumsum()

Coercion of newtyped reader monad given coercion for its value type


By : JiggaWatt
Date : March 29 2020, 07:55 AM
around this issue It looks like you can lead GHC by the nose through the necessary coercions, like so:
code :
{-# LANGUAGE InstanceSigs #-}
instance (C t) => C (T r t) where
  newtype X (T r t) a = X (Reader r (X t a))
  coerceX :: forall a b. Coercion a b -> Coercion (X (T r t) a) (X (T r t) b)
  coerceX Coercion
    = gcoerceWith (coerceX Coercion :: Coercion (X t a) (X t b)) $
        (Coercion :: Coercion (X (T r t) a) (Reader r (X t a))) `trans`
        (Coercion :: Coercible a' b' => Coercion (Reader r a') (Reader r b')) `trans`
        (Coercion :: Coercion (Reader r (X t b)) (X (T r t) b))
coerceX Coercion = ...
coerceX Coercion = gcoerceWith (coerceX Coercion :: Coercion (X t a) (X t b)) Coercion
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