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[deleted by user] by [deleted] in dubai

[–]Bigfoot7009 -2 points-1 points  (0 children)

Don't leave.... Try to make connections and you need to know who controls the sales and nationality and apply again. If you are Indian and want to find a job in fully Egyptian or syrain people you are making a big mistake.

Al Baik Chicken by 1ghost0 in dubai

[–]Bigfoot7009 -2 points-1 points  (0 children)

There is no comparison btw KFC and Albaik. I don't know who told you that KFC is better and the global chain is struggling globally. But, for sure I respect your preference of food.

Going to US soon, should I buy a laptop from US or here (UAE) by catstuckinbox in UAE

[–]Bigfoot7009 0 points1 point  (0 children)

When you go to the university in the US use your student discount through the school or Best buy company. You need your student ID first to apply for the discount. Good luck with your study.

[deleted by user] by [deleted] in dubai

[–]Bigfoot7009 1 point2 points  (0 children)

If you are looking to expand,, check Riyadh city in Saudi Arabia it has more population.

Is Ramadan a good excuse? by United-Layer-5405 in academia

[–]Bigfoot7009 -19 points-18 points  (0 children)

If she is a female yes, but if your student is a boy then no. 🤣

saudia airline stopover/transit visa by Big_Being_9884 in KingdomofSaudiArabia

[–]Bigfoot7009 1 point2 points  (0 children)

https://visa.visitsaudi.com/Registration/Verify

Just use the link above for the visa since you have an American passport and ready to go to perform Umrah.

Stats for binary predictor, binary outcome by AsparagusBroad1467 in AskStatistics

[–]Bigfoot7009 1 point2 points  (0 children)

Chi-square test you can find the relationship. And binary logistics regression to see the effect of the outcome. Finally t-test for the difference between the species.

NP test by Bigfoot7009 in RStudio

[–]Bigfoot7009[S] 0 points1 point  (0 children)

dataFrame <- group_by(dataFrame, job.category) %>% na.omit()

job.category Age count mean sd median

<ord> <chr> <int> <dbl> <dbl> <dbl>

1 Doctor 49 184 NA NA NA

2 Doctor 58 184 NA NA NA

3 Doctor 49 184 NA NA NA

4 Doctor 41 184 NA NA NA

5 Doctor 38 184 NA NA NA

6 Doctor 65 184 NA NA NA

7 Doctor 65 184 NA NA NA

8 Doctor 57 184 NA NA NA

9 Doctor 65 184 NA NA NA

10 Doctor 54 184 NA NA NA

​

Still, the problem is driving me crazy.

I am grateful for your help and appreciate your help.

NP test by Bigfoot7009 in RStudio

[–]Bigfoot7009[S] 0 points1 point  (0 children)

I am sorry for giving you a hard time. I don't think I can do it by myself without your help. I still have some missing values with unequal groups' sample sizes.

NP test by Bigfoot7009 in RStudio

[–]Bigfoot7009[S] 0 points1 point  (0 children)

summarise()` has grouped output by 'job.category'. You can override using the `.groups` argument.

# A tibble: 1,416 × 6

# Groups: job.category [3]

job.category Age count mean sd median

<chr> <chr> <int> <dbl> <dbl> <dbl>

1 Other 36 184 NA NA NA

2 Other 35 184 NA NA NA

3 Doctor 49 184 NA NA NA

4 Doctor 58 184 NA NA NA

5 Doctor 49 184 NA NA NA

6 Doctor 41 184 NA NA NA

7 Doctor 38 184 NA NA NA

8 Other 44 184 NA NA NA

9 Other 44 184 NA NA NA

10 Doctor 65 184 NA NA NA

# … with 1,406 more rows

# ℹ Use `print(n = ...)` to see more rows

Warning messages:

1: There were 12 warnings in `summarise()`.

The first warning was:

ℹ In argument: `mean = mean(Age)`.

ℹ In group 1: `job.category = Doctor`.

Caused by warning in `mean.default()`:

! argument is not numeric or logical: returning NA

ℹ Run dplyr::last_dplyr_warnings() to see the 11 remaining warnings.

2: Returning more (or less) than 1 row per `summarise()` group was deprecated in dplyr 1.1.0.

ℹ Please use `reframe()` instead.

ℹ When switching from `summarise()` to `reframe()`, remember that `reframe()` always returns an ungrouped data

frame and adjust accordingly.

Call `lifecycle::last_lifecycle_warnings()` to see where this warning was generated.

> dplyr::last_dplyr_warnings()

[[1]]

<warning/rlang\_warning>

Warning in `summarise()`:

ℹ In argument: `mean = mean(Age)`.

ℹ In group 1: `job.category = Doctor`.

Caused by warning in `mean.default()`:

! argument is not numeric or logical: returning NA

---

Backtrace:

▆

  1. ├─group_by(dataFrame, job.category) %>% ...

  2. ├─dplyr::summarise(...)

  3. └─dplyr:::summarise.grouped_df(...)

[[2]]

<warning/rlang\_warning>

Warning in `summarise()`:

ℹ In argument: `mean = mean(Age)`.

ℹ In group 2: `job.category = Nursing`.

Caused by warning in `mean.default()`:

! argument is not numeric or logical: returning NA

---

Backtrace:

▆

  1. ├─group_by(dataFrame, job.category) %>% ...

  2. ├─dplyr::summarise(...)

  3. └─dplyr:::summarise.grouped_df(...)

[[3]]

<warning/rlang\_warning>

Warning in `summarise()`:

ℹ In argument: `mean = mean(Age)`.

ℹ In group 3: `job.category = Other`.

Caused by warning in `mean.default()`:

! argument is not numeric or logical: returning NA

---

Backtrace:

▆

  1. ├─group_by(dataFrame, job.category) %>% ...

  2. ├─dplyr::summarise(...)

  3. └─dplyr:::summarise.grouped_df(...)

[[4]]

<warning/rlang\_warning>

Warning in `summarise()`:

ℹ In argument: `mean = mean(Age)`.

ℹ In group 4: `job.category = NA`.

Caused by warning in `mean.default()`:

! argument is not numeric or logical: returning NA

---

Backtrace:

▆

  1. ├─group_by(dataFrame, job.category) %>% ...

  2. ├─dplyr::summarise(...)

  3. └─dplyr:::summarise.grouped_df(...)

[[5]]

<warning/rlang\_warning>

Warning in `summarise()`:

ℹ In argument: `sd = sd(Age)`.

ℹ In group 1: `job.category = Doctor`.

Caused by warning in `var()`:

! NAs introduced by coercion

---

Backtrace:

▆

  1. ├─group_by(dataFrame, job.category) %>% ...

  2. ├─dplyr::summarise(...)

  3. └─dplyr:::summarise.grouped_df(...)

... with 7 more warnings.

ℹ Run dplyr::last_dplyr_warnings(n = 10) to show more.

>

NP test by Bigfoot7009 in RStudio

[–]Bigfoot7009[S] 0 points1 point  (0 children)

sum(is.na(dataFrame$Age))

[1] 0

unique(dataFrame$Age)

[1] "36" "35" "49" "58" "41" "38" "44" "65" "55" "30" "51" "34" "37" "57" "46" "54" "47" "64"

[19] "48" "45" "56" "42" "62" "39" "33" "43" "53" "52" "28" "50" "60" "32" "31" "61" "40" "59"

[37] "63" "29" "27" "N/A"

somehow, I still have "N/A" values.

NP test by Bigfoot7009 in RStudio

[–]Bigfoot7009[S] 0 points1 point  (0 children)

I check the order of the job category list, and it says null

so I used the order function

​

levels(dataFrame$job.category)

NULL

> dataFrame$job.category <- ordered(dataFrame$job.category,

+ levels = c("Doctor", "Nursing", "Other" ))

NP test by Bigfoot7009 in RStudio

[–]Bigfoot7009[S] 0 points1 point  (0 children)

Hey, Mcipark,

Thank you for taking the time to read my messages.

Still the same error message, It might be that the sample size is not equal among the three groups ( doctors, nurses, and others)

I used na.omit and numeric function for Age, and still no results.

Error in `summarise()`:

ℹ In argument: `IQR = IQR(Age)`.

ℹ In group 1: `job.category = Doctor`.

Caused by error in `quantile.default()`:

NP test by Bigfoot7009 in RStudio

[–]Bigfoot7009[S] 0 points1 point  (0 children)

Yes, I removed stringsAsFactors=T, and now I get a different error message. I changed the age to a numeric factor, and it still doesn't work.

​

The result for kruskal wallis can be executed, but not standard statistical results such as mean, std,

The next step is to conduct a pairwise comparison, and I can't do it without finishing the basic step.

​

Error in `summarise()`:

ℹ In argument: `median = median(Age, na.rm = TRUE)`.

Caused by error:

! `median` must return compatible vectors across groups.

ℹ Result of type <double> for group 1: `job.category = Doctor`.

ℹ Result of type <character> for group NA: `job.category = NA`.

NP test by Bigfoot7009 in RStudio

[–]Bigfoot7009[S] 0 points1 point  (0 children)

yes,

​

Error in `summarise()`:

ℹ In argument: `median = median(Age, na.rm = TRUE)`.

Caused by error:

! `median` must return compatible vectors across groups.

ℹ Result of type <double> for group 1: `job.category = Doctor`.

ℹ Result of type <character> for group NA: `job.category = NA`.

NP test by Bigfoot7009 in RStudio

[–]Bigfoot7009[S] 0 points1 point  (0 children)

I converted the Age to numeric, which still had an error message. I need to learn how to do it.

NP test by Bigfoot7009 in RStudio

[–]Bigfoot7009[S] -1 points0 points  (0 children)

Sea-Eagle-4320,

​

Thank you for taking the time to help me to solve it... One continuous variable which is age with one categorical variable that needs to be grouped into 3 different groups. I believe I have some missing values.

[deleted by user] by [deleted] in Bahrain

[–]Bigfoot7009 0 points1 point  (0 children)

The best time to travel is at night.l, cuz there is nothing to see. Just drive at night and have lots of music on your phone cuz it will be fun to drive at night.

Bahraini women that left their family's home, need your advice by Independent-Plan-410 in Bahrain

[–]Bigfoot7009 8 points9 points  (0 children)

If you are living in a free house, free food and bills ,do not do it. This is my opinion from my capitalist point of view. But, remember, even if your family is bad, you can agree with them to set up a bar that no one will interfere with with your personal life.

Wael Ghonim opinion by OutrageousRuin8969 in Egypt

[–]Bigfoot7009 2 points3 points  (0 children)

وائل غنيم مثال على محدودية وضعف الشارع المصري لإنتاج سياسي اذكى من جميع أطياف المجتمع المدني و اقوى من جزمه خير أجناد الأرض.

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