We cannot read your message. Should post pure text, not html. Hm, my phone

now may post html, must try to stop. Your R code not legible. It seems to

be output? Lines all run together. I tried find articles you mention, but

"not found" resulted.

You should use aov() for fitting, then get post hoc comparisons.

In car package, Anova function will help. I may teach Anova soon, we'll see

if I have better answer then.

Paul Johnson

University of Kansas

On Wed, Oct 10, 2018, 1:14 AM Thanh Tran <

[hidden email]> wrote:

> Hi eveyone,

> I'm studying about variance (ANOVA) in R and have some questions to share.

> I read an article investigating the effect of factors (temperature, Asphalt

> content, Air voids, and sample thickness) on the hardness of asphalt

> concrete in the tensile test (abbreviated as Kic). Each condition was

> repeated four times (4 samples). In the paper, the authors used MINITAB to

> analyze Anova. The authors use "adjusted sums of squares" calculate the

> p-value I try to use ANOVA in R to analyze this data and get the result as

> shown in Figure 4. The results are different from the results in the

> article. Some papers say that in R, the default for ANOVA analysis is to

> use "sequential sums of squares" to calculate the p-value.

> So please help the following two questions: 1 / Introduction to code in R

> for anova analysis uses "adjusted sums of squares". The main part of the

> command in R / myself is as follows: > Tem = as.factor (temperature) > Ac =

> as.factor (AC) > Av = as.factor (AV) > Thick = as.factor (Thickness) >

> Twoway = lm (KIC ~ Tem + Ac + Av + Thick + Stamp + Ac + Stamp + Av + Stamp

> + Thick + Ac * Av + Ac * Thick + Av * Thick) > anova (twoway) 2/ When to

> use "sequential sums of squares" and when to use "adjusted sums of

> squares". Some papers recommend using the "oa.design

> <

>

https://www.youtube.com/redirect?q=http%3A%2F%2Foa.design%2F&redir_token=AaSAPDY-5UAsoHxN6BdwfyIJ7R98MTUzOTIxNDg2OUAxNTM5MTI4NDY5&event=comments> >"

> function in R to check for "orthogonal" designs. If not, use "adjusted sums

> of squares". I am still vague about this command, so look forward to

> everyone's suggestion. If you could answer all two of my questions, I would

> be most grateful. Ps: I have added a CSV file and the paper for practicing

> R.

http://www.mediafire.com/file/e5oe54p2c2wd4bc/Saha+research.csv>

>

http://www.mediafire.com/file/39jlf9h539y9mdz/Homothetic+behaviour+investigation+on+fracture+toughness+of+asphalt+mixtures+using+semicircular+bending+test.pdf>

> [[alternative HTML version deleted]]

>

> ______________________________________________

>

[hidden email] mailing list -- To UNSUBSCRIBE and more, see

>

https://stat.ethz.ch/mailman/listinfo/r-help> PLEASE do read the posting guide

>

http://www.R-project.org/posting-guide.html> and provide commented, minimal, self-contained, reproducible code.

>

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______________________________________________

[hidden email] mailing list -- To UNSUBSCRIBE and more, see

https://stat.ethz.ch/mailman/listinfo/r-helpPLEASE do read the posting guide

http://www.R-project.org/posting-guide.htmland provide commented, minimal, self-contained, reproducible code.