วีดีโอ

This is clear and easy to follow. superb!

I would only add, the specific value of alpha / position of axial points depends on k (number of variables). It tends to increase as you add more variables.

this was what I needed!

Thanks🎉

Hickle Plaza

Fantastic tutorial, thank you! But I'm new to R, how can I download the data and code files into RStudio? I tried copy-pasting the code on your website, but it got stuck at library(rsm) because "there is no package called rsm". Do I need to download an RSM package separately? Thanks!

Hey! If I run your code, there is an Error after "Tk$cld <- cld$Letters", saying "Error in `$<-.data.frame`(`*tmp*`, cld, value = c("a", "a", "ab", "b", : replacement has 6 rows, data has 1"

Hello Rosane....! I was your student at Udemy... for the DOE for Optimization course... All material you present is excellent... Thanks for your help.

I am so confused. How do you tell the significance? Is it by seeing if they are in close range or maybe far apart or what

Very informative

how do we get the resulting yield, or yhe percentage?

Interesting video. How can I codify X1 if each point has a logarithmic increment? For example, A = 0, 1, 10, 100. x1 ~ (A - 100)/Log(10), is it correct? Thanks

Thanks som i find, your tutorial interesting, please can you help me out with the question below? Q. Write on Augmentation of 2k factorial experiment with center point to handle curvature and lack of fit

Hello! Thansks so much! I have a question: In 3:34, with 16 experiments you code suggest a 4 resolution instead of a 5 resolution: FrF2(nfactors = 5, resolution = 4) Which one is correct?

Can this be used for single replication? 😢

Muito origado pelo vídeo! Ajudou demais a entender essa confusão de letra.

Great video, thank you so much!

I ended up with a different ANOVA table below. Can someone tell me where I made a mistake in my R code? Df Sum Sq Mean Sq F value Pr(>F) Glass 2 267 133 0.888 0.429 Temp_Factor 2 3141469 1570734 10450.918 <2e-16 *** Glass:Temp_Factor 4 534 133 0.888 0.491 Residuals 18 2705 150

getwd() setwd("D:/") library(readxl) R <- read_excel("D:/R.xlsx") View(R) library(dplyr) # Assuming your dataframe is named excel_data data_summary <- R %>% group_by(Glass, Temp) %>% summarise(mean = mean(`Light`, na.rm = TRUE), sd = sd(`Light`, na.rm = TRUE)) %>% arrange(desc(mean)) # View the data_summary dataframe View(data_summary)

thank a lot a beatifull skills from beatifull Lady!

nice :)

Thanks a lot! This tutorial is easy to follow

At 3:56, assuming 0.71 and 1.4 were not significantly different, how do I draw the line? Do I draw it from 0.71 all the way to 1.4 or do I skip 1.02? The video was amazingly helpful, by the way. Thank you!

Hi! What code should I input to get CDL if I did Dunn’s Test? Thanks!

Direction of steepest ascent is just the gradient, correct?

Thank you very much for explanation! But how in Excel can we create a table that you shown at 1.38, 16.38+-0.3 with st.dev.?

Can explain the desirability functions with R code. I have 4 Factors and two responses

Thanks for the great tutorial! My question is: is it possible to add another level/layer? Eg to have: survived - class - age?

Barely understand your accent

thank you for this video. It's very useful.

What accent is that ? excuse me

Smart way! It's much simpler than the method I learnt to compare down and up etc. Thank you!

each time I run this command multcompLetters4(Anova, Tukey) I receive this error msg : Error in `[.data.frame`(data, , fm[[1]]) : undefined columns selected, could you help me solving this problem please?

Thank you for the awesome videos. Can you just get me to understand how did you arrive to the axial points of 92.07, 77.93, 182.07 and 167.93? I have tried many times but couldn't get the same answer... Thank you in advance

Thank you . great video.

I need to label y axis with "Regeneration percentage (%)" but in the code I can't write % because shows me an error. How can I put % in y axis? 🙏🏽

Thank you very much. Congratulations!!!❤

Certainly a great video!!!! However, I'm facing some problems with plot generation. At the end of line 39 you introduce 'y=quant', what is this? When I run the function for plot, it's generated an error 'quant object not found'. I would appreciate information about it. Thanks beforehand

How can I use fixed values as my data. let's say I already have the % values for each category?

This is amazing. Have been studying and working with experimental design for about 2 years. Never ever have I seen such comprehensive introduction as this video.

lovely teaching video! how to analysis soil fertility status?

EXCELLENT explanations !!!

why does she sounds like Sofia vergara ......nice explanation though.

very helpful!!!!

Rosane Your video is a lovely one and go ahead please on soil fertility status and different fertilizer rate like phosphorus and potassium etc.

dr. Rech your teaching is a lovely one!! please do on fertilizer rate of phosphorus and potassium by RCBD design

Thanks for the nice tutorial. how to reorder or rearrange the x variables mean feed types??

At last got some clarity from your video

hi, I'm working on laser-assisted turning and currently experimenting with five parameters: depth of cut, feed rate, spindle speed, laser power, and laser angle (the distance between the laser spot and cutting edge). Initially, I opted for a face-centered central composite design. However, I've noticed that when the laser power is set to 0 (indicating the laser is off), the laser angle becomes irrelevant. I'm uncertain about the appropriate experimental design in this situation. Could you please suggest a method or name for this scenario, considering the disregard for laser angle when laser power is zero? Thank you for your insights!

hi, I'm working on laser-assisted turning and currently experimenting with five parameters: depth of cut, feed rate, spindle speed, laser power, and laser angle (the distance between the laser spot and cutting edge). Initially, I opted for a face-centered central composite design. However, I've noticed that when the laser power is set to 0 (indicating the laser is off), the laser angle becomes irrelevant. I'm uncertain about the appropriate experimental design in this situation. Could you please suggest a method or name for this scenario, considering the disregard for laser angle when laser power is zero? Thank you for your insights!