Beginner for an Assignment! Error message constant

General
1

Hoping someone can help...
We have been instructed as part of a research assignment to use RStudio for data analysis....while I am computer literate I am not this level!

I have imported the data set using the click options, I have installed and accessed the library for car, QuantPsyc, reshape and mediation. A youtube recommended Lavaan so that's there too. I have given it the command to read my CSV and still the same error. I'm sure this is something basic but as I said I am a beginner beginner and this is not fun!
Here is my script so far....This is my second file attempt, my first came up with the same errors

library(readr)
Warning message:
R graphics engine version 14 is not supported by this version of RStudio. The Plots tab will be disabled until a newer version of RStudio is installed.
Assignment_Data_Updated <- read_csv("Assignment_Data_Updated.csv")

-- Column specification --------------------------------------
cols(
Rel.Sat = col_double(),
LifeSat = col_double(),
Wellbeing = col_double(),
Gender = col_character(),
Age = col_double()
)

View(Assignment_Data_Updated)

Satisfaction <- lm (Wellbeing ~ LifeSat, data = Rel.Sat)
Error in is.data.frame(data) : object 'Rel.Sat' not found
library (readr)
df <- read_csv("Assignment_Data_Updated.csv")

-- Column specification --------------------------------------
cols(
Rel.Sat = col_double(),
LifeSat = col_double(),
Wellbeing = col_double(),
Gender = col_character(),
Age = col_double()
)

SatisfactionModel <- lm (Wellbeing ~ LifeSat, data = Rel.Sat)
Error in is.data.frame(data) : object 'Rel.Sat' not found
install.packages("lavaan")
Installing package into ‘C:/Users/User/Documents/R/win-library/4.1’
(as ‘lib’ is unspecified)
also installing the dependencies ‘tmvnsim’, ‘mnormt’, ‘pbivnorm’

The downloaded binary packages are in
C:\Users\User\AppData\Local\Temp\RtmpGK3u15\downloaded_packages

library (lavaan)
This is lavaan 0.6-8
lavaan is FREE software! Please report any bugs.
SatisfactionModel <- lm (Wellbeing ~ LifeSat, data = Rel.Sat)
Error in is.data.frame(data) : object 'Rel.Sat' not found

1 Like
2

The data argument to lm should be the data frame you read. Try this.

Assignment_Data_Updated <- read_csv("Assignment_Data_Updated.csv")
Satisfaction <- lm (Wellbeing ~ LifeSat, data = Assignment_Data_Updated)
summary(Satisfaction)
1 Like
3

Can you tell us which versions of RStudio and R that you are using?

 sessionInfo()

will give you the R version.

4

That worked! thank you!

As I'm running a mediation analysis and that was path c, would path a be:

SatisfactionModel <- lm(Rel.Sat ~ LifeSat, data = Assignment_Data_Updated) summary(Satisfaction)

and paths b and c:

SatisfactionModel <- lm (Wellbeing ~ LifeSat + Rel.Sat, data = Assignment_Data_Updated) Summary(Satisfaction)

5

I received an error that the latest version was not compatible with my OS so I'm running R i386 4.1.0 and the older Studio 1.1.463

6

Hmmmm there's obviously another flaw in my code as my summary isn't bringing up the latest formula but the original one....and I had to type in Call:
lm(formula = Wellbeing ~ LifeSat + Rel.Sat, data = Assignment_Data_Updated) to get the summary that I got

Unless I am only supposed to get the coefficient here not the full summary as I did for the first formula summary

If there is a website that anyone can recommend (I've already downloaded the PDF for R for dummies!) that might explain these basics please share....I need to run a regression analysis too!

7

humm, there are some reports of incompatibilities with something like ggplot2 and R 4,1.x but I do not remember them affecting things like lm()

Can you give us a reproducible example (reprex)

We probably need to step through tnhe code to get a feel for what is happening.

A handy way to supply sample data is to use the dput() function. See ?dput. If you have a very large data set then something like head(dput(myfile), 100) will likely supply enough data for us to work with.

What is your OS?

8

This was my first summary that was from Arthur.t's solution

Satisfaction <- lm (Wellbeing ~ LifeSat, data = Assignment_Data_Updated)
summary(Satisfaction)

Call:
lm(formula = Wellbeing ~ LifeSat, data = Assignment_Data_Updated)

Residuals:
Min 1Q Median 3Q Max
-4.0313 -0.8293 0.2667 0.8298 2.9131

Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 2.57149 0.49694 5.175 5.80e-07 ***
LifeSat 0.81823 0.09129 8.963 3.05e-16 ***

Signif. codes: 0 ‘’ 0.001 ‘’ 0.01 ‘’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 1.313 on 189 degrees of freedom
Multiple R-squared: 0.2983, Adjusted R-squared: 0.2945
F-statistic: 80.33 on 1 and 189 DF, p-value: 3.054e-16

I tried to then duplicate that for path a and then b and c together...this was my result (it won't let me reply with links although I can't see any links in there)

Error in (function (classes, fdef, mtable) :
unable to find an inherited method for function ‘Summary’ for signature ‘"lm"’
and the summary just gives me:
Coefficients:
(Intercept) LifeSat Rel.Sat
1.2508 0.7351 0.2884

just tried to sample data:
dput()
Error in dput() : argument "x" is missing, with no default

9

Turns out I was using my renamed model instead of the original modelXY/modelXMY

Thank you so much for your time and help I appreciate it! :slight_smile:

10

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