Let’s start with saying that importing MS Access files into R can be easy, but it isn’t necessarily so. There’s some compatibility issues that you need to know about. This blog post elaborates on these errors and how I solved them.
Import tables from an .mdb file
Opening a connection to your .mdb access database file and loading in a complete table is fairly easy. A widely used library to perform this task is RODBC, which enables Open Database Connectivity (ODBC) in R.
library(RODBC)
con <- odbcConnectAccess('your_db_file.mdb')
sqlFetch(con, 'your_table')
odbcClose(con)
If you have a 32-bit version of MS Office installed on your computer and you use the 32-bit version of R and your Access file has the .mdb extension, this will probably have worked flawlessly. However, that’s quite a lot of requirements.
If you use 64-bit R, you will run into the following error:
Error in odbcConnectAccess(“your_file.mdb”) : odbcConnectAccess is only usable with 32-bit Windows
If your tables aren’t huge (+4GB), you can simply change R to the 32-bit version. In RStudio, this is done via Tools > Global Options. You will have to restart RStudio.

Import tables from an .accdb file
To import .accdb files, the same requirement holds: you need to be working in the 32-bit version of R. The function to create the connection is very similar as with .mdb files.
library(RODBC)
con <- odbcConnectAccess2007('your_db_file.accdb')
sqlFetch(con, 'your_table')
odbcClose(con)
However, it is very likely that you’ll run into this error:
1: In odbcDriverConnect(con, …) : [RODBC] ERROR: state IM002, code 0, message [Microsoft][ODBC Driver Manager] Data source name not found and no default driver specified2: In odbcDriverConnect(con, …) : ODBC connection failed
That’s because you need the 32-bit MS Access 2007 drivers. Luckily, you don’t need to install another version of MS Office. The drivers have been made available in a stand-alone installer, that you can get here. If you install this file, you’ll be able to access .accdb files in R. You don’t even need to restart after installing these drivers.
By the way, if you’re having trouble understanding some of the code and concepts, I can highly recommend “An Introduction to Statistical Learning: with Applications in R”, which is the must-have data science bible. If you simply need an introduction into R, and less into the Data Science part, I can absolutely recommend this book by Richard Cotton. Hope it helps!
Great success!
Thanks a lot this worked for me!
I used your first Code Snippet that works only on 32Bit Windows and embedded it in a function to call 32Bit R from the 64bit version (see one of the solutions here: https://stackoverflow.com/questions/13070706/how-to-connect-r-with-access-database-in-64-bit-window)
Thanks! Worked great with my old mdbs that no current Access version can handle any longer.
Glad I could help!
Very nice post. I just stumbled upon your blog and wanted to say that I’ve really enjoyed browsing your blog posts. In any case I’ll be subscribing to your feed and I hope you write again soon!
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电子烟的“快感”主要源于其通过尼古丁和其他化学物质刺激大脑产生的生理和心理反应,同时也受产品设计、使用方式及社会文化等因素影响。以下是具体分析:
一、生理机制:尼古丁的成瘾性作用
尼古丁与多巴胺系统
尼古丁通过激活大脑中的 α4β2尼古丁乙酰胆碱受体,快速促进多巴胺分泌,产生短期愉悦感和放松感。这种反应类似传统香烟,但电子烟的气溶胶吸入方式可能更快传递尼古丁(部分设备可调节雾量)。
耐受性与依赖性
频繁使用会导致尼古丁耐受性上升,用户需增加摄入量维持快感,最终形成生理依赖。研究显示,电子烟使用者的血浆尼古丁水平与传统吸烟者相当。
其他化学物质的辅助作用
烟油中添加的 香料化合物(如水果味、薄荷味)可能通过嗅觉和味觉刺激增强愉悦感,但对成瘾性的直接影响尚不明确。
二、心理与行为因素
仪式感与习惯强化
吸电子烟的动作(如“吞云吐雾”)与传统吸烟相似,可触发吸烟者的条件反射性愉悦记忆,尤其对戒烟转吸电子烟的用户而言。
社交与身份认同
电子烟的时尚外观(如酷炫设备、潮流文化)可能吸引年轻人将其视为“亚文化符号”,通过社交分享或群体归属感强化使用动机。
减压与逃避心理
部分用户将吸电子烟视为缓解压力、焦虑或失眠的工具,尽管其实际效果缺乏科学证据支持。
三、产品设计增强吸引力
可变尼古丁含量
许多电子烟允许用户自定义尼古丁浓度(从零到高),新手可从低浓度开始逐步适应,降低初始不适感。
口感与风味创新
除传统烟草味外,电子烟提供数百种风味(如咖啡、巧克力、汽水),其中某些人工香料可能具有 奖赏性刺激作用,尤其对青少年更具吸引力。
便携性与隐蔽性
一次性小烟、口香糖电子烟等设计便于随时随地使用,降低了公共场所使用的心理负担。
四、争议与风险
非吸烟者的潜在风险
尼古丁对大脑发育(尤其青少年)有负面影响,可能引发注意力缺陷或学习障碍。即使少量尝试也可能导致依赖。
长期健康影响的不确定性
虽然电子烟气溶胶中的有害物质(如甲醛、重金属)含量低于传统香烟,但其长期吸入对心血管、肺部和免疫系统的具体危害仍需更多研究。
**“入门效应”争议**
批评者认为电子烟可能成为吸烟者的“入门产品”,尤其对青少年而言,先尝试电子烟后转吸传统香烟的风险存在争议(部分研究支持此观点,另一些则反驳)。
五、总结
电子烟的快感本质上是 尼古丁驱动的成瘾性体验,辅以产品设计和社交文化因素的强化。对于:
吸烟者:电子烟可能作为减害工具,但仍需警惕尼古丁依赖。
非吸烟者(尤其是青少年):无必要主动尝试,避免潜在健康风险。
社会政策制定者:需平衡控烟目标与创新技术发展,通过严格监管(如限制口味、提高年龄门槛)降低滥用风险。
若已对电子烟产生依赖,建议逐步减少尼古丁摄入并寻求专业戒烟支持(如尼古丁替代疗法或心理咨询)。
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