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When i calculate vaeiability through R Studio, the result shows negative values in fcal. Please suggest me your opinion and let me know if there is any corrections

Sir, I have analysed 7 fractions of soil zinc and other soil chemical properties. How can I develop a SEM using my data. Could you please teach me.

can you provide the dataset file.

Good work 👍

Excellent 👍

Good

Good lesson

Informative content

Very nice

Can i use it also if one of my dependent variable is dummy?

Hello sir, how can we do anova post hoc test for this interaction? Can someone provide R codes with steps? Your help is highly appreciated. Thank you. mod_6 <- lme(psy_response~ male + education + age + income + rent + immigrant + immigrant*time, random = ~1 | time, data = data_filt_final, method = "ML") Here, year is factor ( 2010 to 2014). other values are numeric. I tried with so many R codes but not of them work because of inclusion of interaction terms and random effect in the same model.

This is gorgeous work! Thank you

Nicely done, thanks for sharing.

Thank you so much! I have been searching for this information and I really appreciate your help. Thanks again.

in model estimation step the output is like this mod.est = sem(model = mod.id, + data = data) Error in if ((!is.matrix(model)) | ncol(model) != 3) stop("model argument must be a 3-column matrix") : argument is of length zero how to rectify this sir

Thank you very much, Sir!

Thank you very much! A quick question. Aren't we supposed to check model assumptions like we do after fitting a regression model? Or is it enough to look at only fit indices CFI, TLI , chi square, RMSEA and SRMR?

Very helpful for understanding SEM in R

Can you make another tutorial on creating mean separation test table in publication ready style?

Simple and informative

Nice way to create a summary table

Thank you for sharing this

Good tutorial

Simple and easy to understand. Thank you

Nicely explained

Informative

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Thanks sir for shiring video

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can we use Pls method ?

Using semplot, what does those codes represent on the path diagram?

Very understable. I have a split-split plot design. Could I apply the same test as you did in the video?

Amazing Video and so easy to use ! You really saving IB students lives.

Hi, I have two years of collected data from split-plot experiments. I am a new user of R, So, I am looking for help from anyone to combine the analysis of my experiment with full mainplot error and subplot error. Thank you!

Please answer to me, after following your steps, in my PCA result I get a very small sized polygon, the plygon not cover the individual in each group. How can I fix that problem?!

Thanks Sir, Very Informative!!

hii, what journal do you get the data in the video from?

Very direct, very understandable, and very short, thank you!

sir thanks for interesting vedio, for all sources of varation, how can get separate LSD value

Thank you very much for your good job. Pl prepare similar tutorial for two factorial data.

thank you instructor, my analysis shows " object plot A not found" don't show plot or bargraph after " print(p1) run

I was searching for this. Thanks a lot 🙏

Please Prepared SEM with Likert scale based data

Please make SEM with Likert based data.

Sir, Can you share the video for error bars and significant letters for strip plot design.

MeanSE_A = data %>% + group_by(pho) %>% + summarise(avg_A = mean(val), + se = sd(val)/sqrt(length(val))) Error in UseMethod("group_by") : no applicable method for 'group_by' applied to an object of class "function" PLEASE RESOLVE

how to display significant letters with error bars in interaction graph?

Could you help me after getting pooled ANOVA, which R package I should use to get subsequent descriptive statistics for combined data?

Very informative. Would you please like to share the code and dataset.

I get this type of errors. can you rectify it? > library(HH) > res.glht <- glht(model = results, + linfct = mcp(treatment = "Tukey"), + alternative = "two.sided") Error in mcp2matrix(model, linfct = linfct) : Variable(s) ‘treatment’ of class ‘character’ is/are not contained as a factor in ‘model’. > res.glht <- glht(model = results, + linfct = mcp(treatment = "Tukey"), + alternative = "two.sided") Error in mcp2matrix(model, linfct = linfct) : Variable(s) ‘treatment’ of class ‘character’ is/are not contained as a factor in ‘model’. > library(HH) > res.glht <- glht(model = results, + linfct = mcp(treatment = "Tukey"), + alternative = "two.sided") Error in mcp2matrix(model, linfct = linfct) : Variable(s) ‘treatment’ of class ‘character’ is/are not contained as a factor in ‘model’. > print(res.glht) Error: object 'res.glht' not found > res.mmc <- mmc(model = results, + linfct = mcp(treatment = "Tukey"), + focus = "treatment") Error in prod(mmm.rows) : invalid 'type' (list) of argument > print(res.mmc) Error: object 'res.mmc' not found > mmcplot(mmc = res.mmc, + # MMC plot and tiebreaker + style = both, type = "mca") Error: object 'res.mmc' not found > # MMC plot only > style = isomeans, type = "mca" Error: unexpected ',' in "style = isomeans," > # Tiebreaker only when type = "none" > style = both, type = "none" Error: unexpected ',' in "style = both," > # Tiebreaker only when type = "none" > style = isomeans, type = "none" Error: unexpected ',' in "style = isomeans,"