Message-ID: <1387231708577-4682302.post@n4.nabble.com>
Date: 2013-12-16T22:08:28Z
From: yuanzhi
Subject: Chinese Garbled
In-Reply-To: <CA+vqiLHsytJAT8sXkbbGvzML0fcKuvdGjLALLm4WCa6JLiOJRA@mail.gmail.com>
Ista Zahn wrote
> This is the R-help mailing list. If your problem persists when using R
> from the command line or with the GUI shipped with R on your
> (unspecified) platform post back here. Otherwise the RStudio support
> forum is at https://support.rstudio.com
>
> Best,
> Ista
>
> On Sat, Dec 14, 2013 at 12:22 AM, yuanzhi <
> yuanzhi.li@
> > wrote:
>> Hello, I met a problem which needs your help. I reinstalled the R and
>> Rstudio
>> recently. After that, I found there was a problem that the Chinese
>> character
>> was garbled in Rstudio sometimes.
>>
>> example 1
>> "richness.csv" is a file containing three columns and the names of the
>> three
>> columns are "????"??????"???"? But when I read this file with function
>> "read.csv" and displayed, these Chinese characters are garbled like the
>> followings?
>>> x<-read.csv("richness.csv")
>>> x[1:5,]
>> X..??? X.?? ???
>> 1 CK ? 34
>> 2 CK ? 43
>> 3 CK ? 45
>> 4 CK ? 41
>> 5 CK ? 33
>>
>> example2
>>
>> Sometimes the prompting message also contains garabled Chinese
>> characters.
>> For example, when I run "?bargraph.CI"(which is a function in package
>> "sciplot") before I use the cammand "library(sciplot)", it will appear
>> the
>> following message with garbled Chinese characters:
>>> ?bargraph.CI
>> No documentation for ?argraph.CI?in specified packages and libraries:
>> you could try ??bargraph.CI?
>>
>> So, what can I do to solve the problem. Thank you!
>> Yuanzhi
>>
>>
>>
>> --
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>>
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>>
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>> and provide commented, minimal, self-contained, reproducible code.
>
> ______________________________________________
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> PLEASE do read the posting guide
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> and provide commented, minimal, self-contained, reproducible code.
Hi, I am sorry to reply so late. Actually, When I run these codes directly
in R(not Rstudio), it also appears the problem but in a different type:
> x<-read.csv("richness.csv")
> x[1:5,]
X..???.?. X.?.? ??????
1 CK ?? 34
2 CK ?? 43
3 CK ?? 45
4 CK ?? 41
5 CK ?? 33
So, what should I do solve this problem?
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