Відео

suono del sudore con spiegazione chiara grazie!

Many thanks for the tutorial. Unfortunately, the script is difficult to read in some parts and I can’t comprehend to do the analysis in R.

well explained, appreciated

Thank You, could you please share any resource to learn checking these assumptions for linear regression

Very nice video! May i ask you, how can i plot an ellipse?

Can u drop R downloader link please

How you can do the leave one out cross validation for mixed effects models?

It helped me a lot, thank you!

This was very helpful, thank you!!

If it was possible to paste or add here I'll do it. I mean that I'll show up my error or maybe my r software is missing something

My error is about stacked bar plots unless I made a mistake

Sorry too, I wouldn't asked, because email is personal like you said. If I can paste what I made in order to show my error I'll do it. Thank you!

Excuse me, month ago, I sent a message that I would like to send an email in order to see what I made unfortunately no reply. In fact, I did not succeed.

hi! i want to make a stacked bar plot, however it keeps adding up the values for the different groups I have (graphing years on x -axis, and different income categories in the fill bars). e.g., high income is 20 people, low income 40 ... however it is adding up all the groups e.g., 40 + 20, and graphing the total, instead of having the highest value at the top of the bar it has the total. does this make sense? how can i fix this? this is my code: library(ggplot2) library(dplyr) # Filter the data for the required entities and select relevant columns filtered_data <- disasters %>% filter(Entity %in% c("High income", "Low income", "Lower middle income", "Upper middle income")) %>% select(Year, Entity, no..deaths) # Calculate the maximum value for each year max_values <- filtered_data %>% group_by(Year) %>% summarise(max_deaths = max(no..deaths)) # Merge the maximum values with the filtered data merged_data <- filtered_data %>% left_join(max_values, by = "Year") # Create the stacked bar plot with individual entity values ggplot(filtered_data, aes(x = Year, y = no..deaths, fill = Entity)) + geom_bar(stat = "identity") + labs(title = "Number of Deaths by Entity and Year", x = "Year", y = "Number of Deaths") + scale_fill_manual(values = c("High income" = "pink", "Low income" = "green", "Lower middle income" = "yellow", "Upper middle income" = "orange")) + theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust = 1)) + ylim(0, NA) + # Remove y-axis limits scale_x_continuous(breaks = seq(1900, max(filtered_data$Year), by = 10)) # Set breaks to increase by 10 years ggplot(disasters_money ,aes(y = no..deaths, x = Year, fill = Entity)) + geom_bar(stat = "identity") + labs(title = "Number of Deaths by Entity and Year", x = "Year", y = "Number of Deaths") + scale_fill_manual(values = c("High income" = "pink", "Low income" = "green", "Lower middle income" = "yellow", "Upper middle income" = "orange"))

Very nice. For fans of ggplot2 there is the ggformula package. It has the gf_fun() function that will generate curves in the spirit of ggplot2.

Otherwise type my name and you will find my LinkedIn or Twitter or Instagram. Please.

In order to find what I made you may send me your second or third e-mail. PLZ. To enter into it and see it you may convert it to Internet explorer after receiving it. Still not make it in the way you did. I need a hand. Thank you!

Thank you so much. I have a practical tomorrow and I will be asked to do this, I was struggling until I found your video. TYSM again!!

The time is international or military time. Standard the world over.

mam, your content is best 😇

well explained. Thank you

thanks

Rstudio, R 4.2.3

Perhaps, if I may have an email address I will save what I done and sent it to You. Thank you!

I tried to follow You unfortunately my boxplot it appears minus or dash

Dummy variables are not showing using fixed effect, R drops the variables because of multicollinearity...I don't know what to do now

Hi, Yan. What annotation pen did you use to draw the curve line in the video? Thanks.

Thanks a lot! I have been stuck on that question.

How you make a video for same example using repeated measure anova

Thanks a ton.

You need to make a new video because your video and audio are out of sync, do you check this stuff before you hit upload?

thank you so helpful!!!

Very clear explanation! Learned a lot from your video❥(^_-)

what software do you use?

I did’t find The package

Excellent explanation, thank you!

Hi, I need to do regression analysis for multiple variables using a non-linear model. Is there a type of model you can suggest, or put me in the right direction? Thank You !

could you please make a video on how to handle imbalance datasets in data science project

What's your Xiaohongshu?

nice video, i like, i comment, and i subscribble. thanks for the information as always!

Thank you .very useful.you are a very good teacher .

Thanks a lot for your explanation. Really helpful and well presented

Thank you . Great vedeo

Thank you! I was searching for the code to run this: Gn) In the existing R database - iris, there exists outliers in the column values of Sepal.Width. Ques.) To create a new column that signify that the record is an outlier ('Yes' for outlier and 'No' for other records). Ans) Built through this video: summary(iris$Sepal.Width) #Get quartile values from the summary q1=2.8 q3=3.3 InterQuartileRange=IQR(iris$Sepal.Width) LowerWhisker=q1-(1.5*InterQuartileRange) UpperWhisker=q3+(1.5*iInterQuartileRange) iris$is_Outlier=ifelse(iris$Sepal.Width>UpperWhisker | iris$Sepal.Width<LowerWhisker,"yes","no") iris

good

thank you very much , but i encounterd a difficuality to conduct leave one-out sensitivity analysis using R for prevalence or signle proportion meta analysis

Error in install.packages : Updating loaded packages > ggplot(crab_data,aes(x=species,y=weight,fill=stage))+ + geom_boxplot() Error in ggplot(crab_data, aes(x = species, y = weight, fill = stage)) : could not find function "ggplot" > ggplot(crab_data,aes(x=species,y=weight,fill=stage))+ + geom_boxplot() Error in ggplot(crab_data, aes(x = species, y = weight, fill = stage)) : could not find function "ggplot"

Sorry, except R software we downloaded, we also need to download ggplot (ggplot2) before running, right?

you're a life saviour!

Thank you. great vidéo